Amir Salman Avestimehr

According to our database, Amir Salman Avestimehr authored at least 321 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training.

Sunwoo Lee, Tuo Zhang, Saurav Prakash, Yue Niu, Salman Avestimehr

IEEE Trans. Mob. Comput., December, 2024

Edge Private Graph Neural Networks with Singular Value Perturbation.

Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram

Proc. Priv. Enhancing Technol., 2024

Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation.

Hamza Saleem, Amir Ziashahabi, Muhammad Naveed, Salman Avestimehr

Proc. Priv. Enhancing Technol., 2024

One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis.

Onat Dalmaz, Muhammad Usama Mirza, Gökberk Elmas, Muzaffer Özbey, Salman Ul Hassan Dar, Emir Ceyani, Kader Karli Oguz, Salman Avestimehr, Tolga Çukur

Medical Image Anal., 2024

Erratum to "LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning".

Baturalp Buyukates, Jinhyun So, Hessam Mahdavifar, Salman Avestimehr

IEEE J. Sel. Areas Inf. Theory, 2024

LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning.

Baturalp Buyukates, Jinhyun So, Hessam Mahdavifar, Salman Avestimehr

IEEE J. Sel. Areas Inf. Theory, 2024

Enabling Resource-Efficient On-Device Fine-Tuning of LLMs Using Only Inference Engines.

Lei Gao, Amir Ziashahabi, Yue Niu, Salman Avestimehr, Murali Annavaram

CoRR, 2024

ModalityMirror: Improving Audio Classification in Modality Heterogeneity Federated Learning with Multimodal Distillation.

Tiantian Feng, Tuo Zhang, Salman Avestimehr, Shrikanth S. Narayanan

CoRR, 2024

PolyRouter: A Multi-LLM Querying System.

Dimitris Stripelis, Zijian Hu, Jipeng Zhang, Zhaozhuo Xu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Salman Avestimehr, Chaoyang He

CoRR, 2024

AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design.

Asal Mehradfar, Xuzhe Zhao, Yue Niu, Sara Babakniya, Mahdi Alesheikh, Hamidreza Aghasi, Salman Avestimehr

CoRR, 2024

Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs.

Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates, Chenyang Tao, Anil Ramakrishna, Dimitrios Dimitriadis, Salman Avestimehr

CoRR, 2024

Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding.

Tuo Zhang, Tiantian Feng, Yibin Ni, Mengqin Cao, Ruying Liu, Katharine Butler, Yanjun Weng, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr

CoRR, 2024

Maverick-Aware Shapley Valuation for Client Selection in Federated Learning.

Mengwei Yang, Ismat Jarin, Baturalp Buyukates, Salman Avestimehr, Athina Markopoulou

CoRR, 2024

Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey.

Joshua C. Zhao, Saurabh Bagchi, Salman Avestimehr, Kevin S. Chan, Somali Chaterji, Dimitris Dimitriadis, Jiacheng Li, Ninghui Li, Arash Nourian, Holger R. Roth

CoRR, 2024

ATP: Enabling Fast LLM Serving via Attention on Top Principal Keys.

Yue Niu, Saurav Prakash, Salman Avestimehr

CoRR, 2024

Loki: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation.

Joshua C. Zhao, Atul Sharma, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Ethos: Rectifying Language Models in Orthogonal Parameter Space.

Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics.

Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs.

Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Frequency Domain Diffusion Model with Scale-Dependent Noise Schedule.

Amir Ziashahabi, Baturalp Buyukates, Artan Sheshmani, Yi-Zhuang You, Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2024

Predicting Uncertainty of Generative LLMs with MARS: Meaning-Aware Response Scoring.

Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Salman Avestimehr, Chenyang Tao, Dimitrios Dimitriadis

Proceedings of the IEEE International Symposium on Information Theory, 2024

Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning.

Yavuz Faruk Bakman, Duygu Nur Yaldiz, Yahya H. Ezzeldin, Salman Avestimehr

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency.

Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Dimitris Stripelis, Yide Ran, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

TensorOpera Router: A Multi-Model Router for Efficient LLM Inference.

Dimitris Stripelis, Zhaozhuo Xu, Zijian Hu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Jipeng Zhang, Tong Zhang, Salman Avestimehr, Chaoyang He

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning.

Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr

Proceedings of the Computer Vision - ECCV 2024, 2024

All Rivers Run to the Sea: Private Learning with Asymmetric Flows.

Yue Niu, Ramy E. Ali, Saurav Prakash, Salman Avestimehr

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers.

Tuo Zhang, Jinyue Yuan, Salman Avestimehr

Proceedings of the Findings of the Association for Computational Linguistics, 2024

MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs.

Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Partial model averaging in Federated Learning: Performance guarantees and benefits.

Sunwoo Lee, Anit Kumar Sahu, Chaoyang He, Salman Avestimehr

Neurocomputing, November, 2023

How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?

Ahmed Roushdy Elkordy, Jiang Zhang, Yahya H. Ezzeldin, Konstantinos Psounis, Salman Avestimehr

Proc. Priv. Enhancing Technol., January, 2023

Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment.

Sunwoo Lee, Chaoyang He, Salman Avestimehr

Neural Networks, January, 2023

Overcoming Resource Constraints in Federated Learning: Large Models Can Be Trained with only Weak Clients.

Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr

Trans. Mach. Learn. Res., 2023

mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization.

Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr

Trans. Mach. Learn. Res., 2023

Distributed Architecture Search Over Heterogeneous Distributions.

Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr

Trans. Mach. Learn. Res., 2023

Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter?

Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr

Trans. Mach. Learn. Res., 2023

Federated Learning of Generative Image Priors for MRI Reconstruction.

Gökberk Elmas, Salman Ul Hassan Dar, Yilmaz Korkmaz, Emir Ceyani, Burak Susam, Muzaffer Özbey, Salman Avestimehr, Tolga Çukur

IEEE Trans. Medical Imaging, 2023

Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning.

Shanshan Han, Wenxuan Wu, Baturalp Buyukates, Weizhao Jin, Yuhang Yao, Qifan Zhang, Salman Avestimehr, Chaoyang He

CoRR, 2023

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things.

Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, JeongGil Ko, Kiran Somasundaram, Shrikanth S. Narayanan, Salman Avestimehr, Mi Zhang

CoRR, 2023

SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models.

Sara Babakniya, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Qingfeng Liu, Kee-Bong Song, Mostafa El-Khamy, Salman Avestimehr

CoRR, 2023

Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory.

Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr

CoRR, 2023

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs.

Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Chulin Xie, Kai Zhang, Qifan Zhang, Yuhui Zhang, Chaoyang He, Salman Avestimehr

CoRR, 2023

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning.

Tuo Zhang, Tiantian Feng, Samiul Alam, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr

CoRR, 2023

Secure Federated Learning against Model Poisoning Attacks via Client Filtering.

Duygu Nur Yaldiz, Tuo Zhang, Salman Avestimehr

CoRR, 2023

Secure Aggregation in Federated Learning is not Private: Leaking User Data at Large Scale through Model Modification.

Joshua C. Zhao, Atul Sharma, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi

CoRR, 2023

FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System.

Weizhao Jin, Yuhang Yao, Shanshan Han, Carlee Joe-Wong, Srivatsan Ravi, Salman Avestimehr, Chaoyang He

CoRR, 2023

FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training.

Zhenheng Tang, Xiaowen Chu, Ryan Yide Ran, Sunwoo Lee, Shaohuai Shi, Yonggang Zhang, Yuxin Wang, Alex Qiaozhong Liang, Salman Avestimehr, Chaoyang He

CoRR, 2023

Federated Analytics: A survey.

Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Shanshan Han, Shantanu Sharma, Chaoyang He, Sharad Mehrotra, Salman Avestimehr

CoRR, 2023

A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks.

Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls.

Shen Li, Pritam Damania, Luca Wehrstedt, Rohan Varma, Omkar Salpekar, Pavel Belevich, Howard Huang, Yanli Zhao, Lucas Hosseini, Wanchao Liang, Hongyi Jia, Shihao Xu, Satendra Gera, Alisson G. Azzolini, Guoqiang Jerry Chen, Zachary DeVito, Chaoyang He, Amir Ziashahabi, Alban Desmaison, Edward Z. Yang, Gregory Chanan, Brian Vaughan, Manoj Krishnan, Joseph S. Spisak, Salman Avestimehr, Soumith Chintala

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

FedMultimodal: A Benchmark for Multimodal Federated Learning.

Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging.

Erum Mushtaq, Yavuz Faruk Bakman, Jie Ding, Salman Avestimehr

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Performance and Failure Cause Estimation for Machine Learning Systems in the Wild.

Xiruo Liu, Furqan Khan, Yue Niu, Pradeep Natarajan, Rinat Khaziev, Salman Avestimehr, Prateek Singhal

Proceedings of the Computer Vision Systems: 14th International Conference, 2023

FedAudio: A Federated Learning Benchmark for Audio Tasks.

Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr

Proceedings of the IEEE International Conference on Acoustics, 2023

Quantifying Catastrophic Forgetting in Continual Federated Learning.

Christophe Dupuy, Jimit Majmudar, Jixuan Wang, Tanya G. Roosta, Rahul Gupta, Clement Chung, Jie Ding, Salman Avestimehr

Proceedings of the IEEE International Conference on Acoustics, 2023

Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain.

Baturalp Buyukates, Chaoyang He, Shanshan Han, Zhiyong Fang, Yupeng Zhang, Jieyi Long, Ali Farahanchi, Salman Avestimehr

Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures, 2023

The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning.

Joshua C. Zhao, Ahmed Roushdy Elkordy, Atul Sharma, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training.

Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning.

Sunwoo Lee, Tuo Zhang, Amir Salman Avestimehr

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

FairFed: Enabling Group Fairness in Federated Learning.

Yahya H. Ezzeldin, Shen Yan, Chaoyang He, Emilio Ferrara, Amir Salman Avestimehr

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning.

Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr

IEEE/ACM Trans. Netw., 2022

Analog Secret Sharing With Applications to Private Distributed Learning.

Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr

IEEE Trans. Inf. Forensics Secur., 2022

Info-Commit: Information-Theoretic Polynomial Commitment.

Saeid Sahraei, Amir Salman Avestimehr, Ramy E. Ali

IEEE Trans. Inf. Forensics Secur., 2022

HeteroSAg: Secure Aggregation With Heterogeneous Quantization in Federated Learning.

Ahmed Roushdy Elkordy, Amir Salman Avestimehr

IEEE Trans. Commun., 2022

3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs.

Yue Niu, Ramy E. Ali, Salman Avestimehr

Proc. Priv. Enhancing Technol., 2022

Guest Editorial.

Mohammad Ali Maddah-Ali, Salman Avestimehr, Ravi Tandon, Changho Suh, Ayfer Özgür, Chao Tian, Tara Javidi, Giuseppe Caire

IEEE J. Sel. Areas Inf. Theory, 2022

Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges.

Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian

IEEE J. Sel. Areas Commun., 2022

Privacy in Retrieval, Computing, and Learning.

Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian

IEEE J. Sel. Areas Commun., 2022

Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training.

Ahmed Roushdy Elkordy, Saurav Prakash, Salman Avestimehr

IEEE J. Sel. Areas Commun., 2022

Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities.

Tuo Zhang, Lei Gao, Chaoyang He, Mi Zhang, Bhaskar Krishnamachari, Amir Salman Avestimehr

IEEE Internet Things Mag., 2022

Secure Federated Clustering.

Songze Li, Sizai Hou, Baturalp Buyukates, Salman Avestimehr

IACR Cryptol. ePrint Arch., 2022

SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing.

Chaoyang He, Shuai Zheng, Aston Zhang, George Karypis, Trishul Chilimbi, Mahdi Soltanolkotabi, Salman Avestimehr

CoRR, 2022

The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning.

Romain Cosentino, Sarath Shekkizhar, Mahdi Soltanolkotabi, Salman Avestimehr, Antonio Ortega

CoRR, 2022

Federated Learning of Large Models at the Edge via Principal Sub-Model Training.

Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr

CoRR, 2022

Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge.

Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr

CoRR, 2022

One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis.

Onat Dalmaz, Muhammad Usama Mirza, Gökberk Elmas, Muzaffer Özbey, Salman Ul Hassan Dar, Emir Ceyani, Salman Avestimehr, Tolga Çukur

CoRR, 2022

Toward a Geometrical Understanding of Self-supervised Contrastive Learning.

Romain Cosentino, Anirvan M. Sengupta, Salman Avestimehr, Mahdi Soltanolkotabi, Antonio Ortega, Theodore L. Willke, Mariano Tepper

CoRR, 2022

FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations.

Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi A. Noghabi, Salman Avestimehr, Ranveer Chandra

CoRR, 2022

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.

Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-Aware Personalized Federated Learning.

Huili Chen, Jie Ding, Eric W. Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Federated Learning with Noisy User Feedback.

Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks.

Bill Yuchen Lin, Chaoyang He, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning.

Jinhyun So, Corey J. Nolet, Chien-Sheng Yang, Songze Li, Qian Yu, Ramy E. Ali, Basak Guler, Salman Avestimehr

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Statistical Minimax Lower Bounds for Transfer Learning in Linear Binary Classification.

Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2022

Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning.

Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

What If Kidney Tumor Segmentation Challenge (KiTS19) Never Happened.

Erum Mushtaq, Jie Ding, Salman Avestimehr

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

On The Effectiveness of Active Learning by Uncertainty Sampling in Classification of High-Dimensional Gaussian Mixture Data.

Xiaoyi Mai, Salman Avestimehr, Antonio Ortega, Mahdi Soltanolkotabi

Proceedings of the IEEE International Conference on Acoustics, 2022

Learnings from Federated Learning in The Real World.

Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta, Salman Avestimehr

Proceedings of the IEEE International Conference on Acoustics, 2022

Federated Learning Challenges and Opportunities: An Outlook.

Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

The 1st International Workshop on Federated Learning with Graph Data (FedGraph).

Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Federated K-Private Set Intersection.

Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Experimenting FedML and NVFLARE for Federated Tumor Segmentation Challenge.

Yaying Shi, Hongjian Gao, Salman Avestimehr, Yonghong Yan

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

On Multi-Round Privacy in Federated Learning.

August Deer, Ramy E. Ali, Amir Salman Avestimehr

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems.

Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data.

Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing.

Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr

IEEE/ACM Trans. Netw., 2021

PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously.

Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath

IEEE Trans. Inf. Forensics Secur., 2021

Coded Computing for Resilient, Secure, and Privacy-Preserving Distributed Matrix Multiplication.

Qian Yu, Amir Salman Avestimehr

IEEE Trans. Commun., 2021

Compressed Coded Distributed Computing.

Ahmed Roushdy Elkordy, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE Trans. Commun., 2021

Coded Computing for Secure Boolean Computations.

Chien-Sheng Yang, Amir Salman Avestimehr

IEEE J. Sel. Areas Inf. Theory, 2021

Analog Lagrange Coded Computing.

Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr

IEEE J. Sel. Areas Inf. Theory, 2021

List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier.

Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr

IEEE J. Sel. Areas Inf. Theory, 2021

Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning.

Jinhyun So, Basak Güler, Amir Salman Avestimehr

IEEE J. Sel. Areas Inf. Theory, 2021

CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning.

Jinhyun So, Basak Güler, Amir Salman Avestimehr

IEEE J. Sel. Areas Inf. Theory, 2021

Interactive Verifiable Polynomial Evaluation.

Saeid Sahraei, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE J. Sel. Areas Inf. Theory, 2021

Guest Editorial for Special Issue on Coded Computing.

Pulkit Grover, Viveck R. Cadambe, Sennur Ulukus, Stark C. Draper, Salman Avestimehr, Osvaldo Simeone

IEEE J. Sel. Areas Inf. Theory, 2021

Byzantine-Resilient Secure Federated Learning.

Jinhyun So, Basak Güler, Amir Salman Avestimehr

IEEE J. Sel. Areas Commun., 2021

Coded Computing for Low-Latency Federated Learning Over Wireless Edge Networks.

Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat

IEEE J. Sel. Areas Commun., 2021

Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning.

Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr

IACR Cryptol. ePrint Arch., 2021

SPIDER: Searching Personalized Neural Architecture for Federated Learning.

Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr

CoRR, 2021

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks.

Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan, Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr

CoRR, 2021

Layer-wise Adaptive Model Aggregation for Scalable Federated Learning.

Sunwoo Lee, Tuo Zhang, Chaoyang He, Salman Avestimehr

CoRR, 2021

SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision.

Chaoyang He, Zhengyu Yang, Erum Mushtaq, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr

CoRR, 2021

Secure Aggregation for Buffered Asynchronous Federated Learning.

Jinhyun So, Ramy E. Ali, Basak Güler, Amir Salman Avestimehr

CoRR, 2021

AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference.

Yue Niu, Ramy E. Ali, Salman Avestimehr

CoRR, 2021

LightSecAgg: Rethinking Secure Aggregation in Federated Learning.

Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Salman Avestimehr

CoRR, 2021

Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning.

Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram

CoRR, 2021

A Field Guide to Federated Optimization.

Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu

CoRR, 2021

Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection.

Tuo Zhang, Chaoyang He, Tianhao Ma, Mark Ma, Salman Avestimehr

CoRR, 2021

SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks.

Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr

CoRR, 2021

FedNLP: A Research Platform for Federated Learning in Natural Language Processing.

Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr

CoRR, 2021

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks.

Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr

CoRR, 2021

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers.

Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr

CoRR, 2021

Jupiter: a networked computing architecture.

Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Jason A. Tran, Aleksandra Knezevic, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr

Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021, 2021

Federated Learning for Internet of Things.

Tuo Zhang, Chaoyang He, Tianhao Ma, Lei Gao, Mark Ma, Salman Avestimehr

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs.

Alexander Poylisher, Andrzej Cichocki, Katherine Guo, James Hunziker, Latha A. Kant, Bhaskar Krishnamachari, Salman Avestimehr, Murali Annavaram

Proceedings of the 2021 IEEE Military Communications Conference, 2021

Analog Privacy-Preserving Coded Computing.

Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2021

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models.

Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr

Proceedings of the 38th International Conference on Machine Learning, 2021

An Ensemble Approach to Automatic Brain Tumor Segmentation.

Yaying Shi, Christian Micklisch, Erum Mushtaq, Salman Avestimehr, Yonghong Yan, Xiaodong Zhang

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

TACC: Topology-Aware Coded Computing for Distributed Graph Processing.

Basak Güler, Amir Salman Avestimehr, Antonio Ortega

IEEE Trans. Signal Inf. Process. over Networks, 2020

Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding.

Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2020

Coded Computing for Distributed Graph Analytics.

Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2020

InfoCommit: Information-Theoretic Polynomial Commitment and Verification.

Saeid Sahraei, Salman Avestimehr

IACR Cryptol. ePrint Arch., 2020

Coded Computing.

Songze Li, Salman Avestimehr

Found. Trends Commun. Inf. Theory, 2020

On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks.

Ramy E. Ali, Jinhyun So, Amir Salman Avestimehr

CoRR, 2020

Mitigating Byzantine Attacks in Federated Learning.

Saurav Prakash, Amir Salman Avestimehr

CoRR, 2020

Secure Aggregation with Heterogeneous Quantization in Federated Learning.

Ahmed Roushdy Elkordy, Amir Salman Avestimehr

CoRR, 2020

Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge.

Chaoyang He, Murali Annavaram, Salman Avestimehr

CoRR, 2020

FedML: A Research Library and Benchmark for Federated Machine Learning.

Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr

CoRR, 2020

Privacy-Preserving Distributed Learning in the Analog Domain.

Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr

CoRR, 2020

Coded Computing for Federated Learning at the Edge.

Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Amir Salman Avestimehr, Nageen Himayat

CoRR, 2020

FedNAS: Federated Deep Learning via Neural Architecture Search.

Chaoyang He, Murali Annavaram, Salman Avestimehr

CoRR, 2020

A Scalable Approach for Privacy-Preserving Collaborative Machine Learning.

Jinhyun So, Basak Güler, Salman Avestimehr

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks.

Seyed Mohammadreza Mousavi Kalan, Zalan Fabian, Salman Avestimehr, Mahdi Soltanolkotabi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge.

Chaoyang He, Murali Annavaram, Salman Avestimehr

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Coded Computing for Boolean Functions.

Chien-Sheng Yang, Amir Salman Avestimehr

Proceedings of the International Symposium on Information Theory and Its Applications, 2020

Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier.

Qian Yu, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2020

Coded Computing in Unknown Environment via Online Learning.

Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2020

Hierarchical Coded Gradient Aggregation for Learning at the Edge.

Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2020

Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems.

Hema Venkata Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019

Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus.

Navid Azizan Ruhi, Farshad Lahouti, Amir Salman Avestimehr, Babak Hassibi

IEEE Trans. Signal Process., 2019

Communication-Aware Scheduling of Serial Tasks for Dispersed Computing.

Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr

IEEE/ACM Trans. Netw., 2019

Characterizing the Rate-Memory Tradeoff in Cache Networks Within a Factor of 2.

Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2019

Coded Computation Over Heterogeneous Clusters.

Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2019

Capacity Region of the Symmetric Injective K-User Deterministic Interference Channel.

Mehrdad Kiamari, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2019

A Sampling Theory Perspective of Graph-Based Semi-Supervised Learning.

Aamir Anis, Aly El Gamal, Amir Salman Avestimehr, Antonio Ortega

IEEE Trans. Inf. Theory, 2019

Cache-Aided Interference Management in Wireless Cellular Networks.

Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE Trans. Commun., 2019

An Approximation Algorithm for Optimal Clique Cover Delivery in Coded Caching.

Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar, Amir Salman Avestimehr

IEEE Trans. Commun., 2019

Coded Merkle Tree: Solving Data Availability Attacks in Blockchains.

Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath

IACR Cryptol. ePrint Arch., 2019

CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning.

Jinhyun So, Basak Guler, Amir Salman Avestimehr, Payman Mohassel

IACR Cryptol. ePrint Arch., 2019

Train Where the Data is: A Case for Bandwidth Efficient Coded Training.

Zhifeng Lin, Krishna Giri Narra, Mingchao Yu, Salman Avestimehr, Murali Annavaram

CoRR, 2019

Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models.

Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram

CoRR, 2019

Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding.

Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram

CoRR, 2019

Distributed Matrix Multiplication Using Speed Adaptive Coding.

Krishna Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram

CoRR, 2019

Slack squeeze coded computing for adaptive straggler mitigation.

Krishna Giri Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram

Proceedings of the International Conference for High Performance Computing, 2019

Coded State Machine - Scaling State Machine Execution under Byzantine Faults.

Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath

Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, 2019

Timely-Throughput Optimal Coded Computing over Cloud Networks.

Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr

Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

Privacy-Aware Distributed Graph-Based Semi-Supervised Learning.

Basak Güler, Amir Salman Avestimehr, Antonio Ortega

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation.

Qian Yu, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2019

Timely Coded Computing.

Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2019

INTERPOL: Information Theoretically Verifiable Polynomial Evaluation.

Saeid Sahraei, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2019

Tree Gradient Coding.

Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2019

Download and Access Trade-offs in Lagrange Coded Computing.

Netanel Raviv, Qian Yu, Jehoshua Bruck, Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2019

Fitting ReLUs via SGD and Quantized SGD.

Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2019

Robust Graph Signal Sampling.

Basak Güler, Ajinkya Jayawant, Amir Salman Avestimehr, Antonio Ortega

Proceedings of the IEEE International Conference on Acoustics, 2019

A Topology-aware Coding Framework for Distributed Graph Processing.

Bagak Güler, Amir Salman Avestimehr, Antonio Ortega

Proceedings of the IEEE International Conference on Acoustics, 2019

Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy.

Qian Yu, Songze Li, Netanel Raviv, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

The Exact Rate-Memory Tradeoff for Caching With Uncoded Prefetching.

Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2018

A Fundamental Tradeoff Between Computation and Communication in Distributed Computing.

Songze Li, Mohammad Ali Maddah-Ali, Qian Yu, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2018

Secrecy DoF of Blind MIMOME Wiretap Channel With Delayed CSIT.

Sina Lashgari, Amir Salman Avestimehr

IEEE Trans. Inf. Forensics Secur., 2018

PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously.

Songze Li, Mingchao Yu, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath

IACR Cryptol. ePrint Arch., 2018

Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy.

Qian Yu, Netanel Raviv, Jinhyun So, Amir Salman Avestimehr

CoRR, 2018

Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding.

Songze Li, Seyed Mohammadreza Mousavi Kalan, Qian Yu, Mahdi Soltanolkotabi, Amir Salman Avestimehr

CoRR, 2018

Fundamental Resource Trade-offs for Encoded Distributed Optimization.

Amir Salman Avestimehr, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi

CoRR, 2018

GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training.

Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training.

Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Coding for Private and Secure Multiparty Computing.

Qian Yu, Netanel Raviv, Amir Salman Avestimehr

Proceedings of the IEEE Information Theory Workshop, 2018

Compressed Coded Distributed Computing.

Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Near-Optimal Straggler Mitigation for Distributed Gradient Methods.

Songze Li, Seyed Mohammadreza Mousavi Kalan, Amir Salman Avestimehr, Mahdi Soltanolkotabi

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Optimal Coded Multicast in Cache Networks with Arbitrary Content Placement.

Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar, Amir Salman Avestimehr

Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017

A Scalable Framework for Wireless Distributed Computing.

Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE/ACM Trans. Netw., 2017

Binary Fading Interference Channel With No CSIT.

Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr, Yan Zhu

IEEE Trans. Inf. Theory, 2017

Fundamental Limits of Cache-Aided Interference Management.

Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2017

Fundamental Limits of Non-Coherent Interference Alignment via Matroid Theory.

Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2017

Blind Index Coding.

David T. H. Kao, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2017

Linear Degrees of Freedom of the MIMO X-Channel With Delayed CSIT.

David T. H. Kao, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2017

Topological Interference Management With Reconfigurable Antennas.

Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee

IEEE Trans. Commun., 2017

Interference management with mismatched partial channel state information.

Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal

EURASIP J. Wirel. Commun. Netw., 2017

Coding for Distributed Fog Computing.

Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE Commun. Mag., 2017

Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication.

Qian Yu, Mohammad Ali Maddah-Ali, Salman Avestimehr

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Communication-optimal coding designs for caching networks.

Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 2017 IEEE Information Theory Workshop, 2017

On the optimality of separation between caching and delivery in general cache networks.

Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Communication-aware computing for edge processing.

Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Coded TeraSort.

Songze Li, Sucha Supittayapornpong, Mohammad Ali Maddah-Ali, Salman Avestimehr

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

How to optimally allocate resources for coded distributed computing?

Qian Yu, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the IEEE International Conference on Communications, 2017

SINR-Threshold Scheduling with Binary Power Control for D2D Networks.

Mehrdad Kiamari, Chenwei Wang, Amir Salman Avestimehr, Haralabos C. Papadopoulos

Proceedings of the 2017 IEEE Global Communications Conference, 2017

On Heterogeneous Coded Distributed Computing.

Mehrdad Kiamari, Chenwei Wang, Amir Salman Avestimehr

Proceedings of the 2017 IEEE Global Communications Conference, 2017

Architectures for coded mobile edge computing.

Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the IEEE Fog World Congress, 2017

Coded fourier transform.

Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Coding for edge-facilitated wireless distributed computing with heterogeneous users.

Mehrdad Kiamari, Chenwei Wang, Amir Salman Avestimehr

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

MISO Broadcast Channel With Hybrid CSIT: Beyond Two Users.

Sina Lashgari, Ravi Tandon, Salman Avestimehr

IEEE Trans. Inf. Theory, 2016

Approximate Capacity Region of the MISO Broadcast Channels With Delayed CSIT.

Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE Trans. Commun., 2016

Rover-to-Orbiter Communication in Mars: Taking Advantage of the Varying Topology.

Songze Li, David T. H. Kao, Amir Salman Avestimehr

IEEE Trans. Commun., 2016

Fundamental tradeoff between computation and communication in distributed computing.

Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2016

Active learning for community detection in stochastic block models.

Akshay Gadde, Eyal En Gad, Salman Avestimehr, Antonio Ortega

Proceedings of the IEEE International Symposium on Information Theory, 2016

Active learning on weighted graphs using adaptive and non-adaptive approaches.

Eyal En Gad, Akshay Gadde, Amir Salman Avestimehr, Antonio Ortega

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Edge-Facilitated Wireless Distributed Computing.

Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 2016 IEEE Global Communications Conference, 2016

A Unified Coding Framework for Distributed Computing with Straggling Servers.

Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

Poster Abstract: A Scalable Coded Computing Framework for Edge-Facilitated Wireless Distributed Computing.

Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the IEEE/ACM Symposium on Edge Computing, 2016

Coded Distributed Computing: Straggling Servers and Multistage Dataflows.

Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Coded distributed computing: Fundamental limits and practical challenges.

Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Interference Networks With no CSIT: Impact of Topology.

Navid Naderializadeh, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2015

Improving the Thresholds of Sparse Recovery: An Analysis of a Two-Step Reweighted Basis Pursuit Algorithm.

M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi

IEEE Trans. Inf. Theory, 2015

Two-Hop Interference Channels: Impact of Linear Schemes.

Ibrahim Issa, Silas L. Fong, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2015

On the Optimality of Treating Interference as Noise.

Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar

IEEE Trans. Inf. Theory, 2015

Network Compression: Worst Case Analysis.

Himanshu Asnani, Ilan Shomorony, Amir Salman Avestimehr, Tsachy Weissman

IEEE Trans. Inf. Theory, 2015

An Approximation Approach to Network Information Theory.

Amir Salman Avestimehr, Suhas N. Diggavi, Chao Tian, David N. C. Tse

Found. Trends Commun. Inf. Theory, 2015

A general outer bound for MISO broadcast channel with heterogeneous CSIT.

Sina Lashgari, Ravi Tandon, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2015

When does an ensemble of matrices with randomly scaled rows lose rank?

Aly El Gamal, Navid Naderializadeh, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2015

Topological interference management with just retransmission: What are the "Best" topologies?

Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr

Proceedings of the 2015 IEEE International Conference on Communications, 2015

Three-user MISO broadcast channel: How much can CSIT heterogeneity help?

Sina Lashgari, Ravi Tandon, Salman Avestimehr

Proceedings of the 2015 IEEE International Conference on Communications, 2015

Blind index coding over wireless channels: the value of repetition coding.

David T. H. Kao, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 2015 IEEE International Conference on Communications, 2015

Asymptotic justification of bandlimited interpolation of graph signals for semi-supervised learning.

Aamir Anis, Aly El Gamal, Salman Avestimehr, Antonio Ortega

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Coded MapReduce.

Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Are generalized cut-set bounds tight for the deterministic interference channel?

Mehrdad Kiamari, Amir Salman Avestimehr

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Capacity Results for Binary Fading Interference Channels With Delayed CSIT.

Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2014

Diamond Networks With Bursty Traffic: Bounds on the Minimum Energy-Per-Bit.

Ilan Shomorony, Raúl H. Etkin, Farzad Parvaresh, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2014

Degrees of Freedom of Two-Hop Wireless Networks: Everyone Gets the Entire Cake.

Ilan Shomorony, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2014

Linear Degrees of Freedom of the $X$ -Channel With Delayed CSIT.

Sina Lashgari, Amir Salman Avestimehr, Changho Suh

IEEE Trans. Inf. Theory, 2014

Computing Half-Duplex Schedules in Gaussian Relay Networks via Min-Cut Approximations.

Raúl H. Etkin, Farzad Parvaresh, Ilan Shomorony, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2014

Layered Interference Networks With Delayed CSI: DoF Scaling With Distributed Transmitters.

Mohammad Javad Abdoli, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2014

ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems.

Navid Naderializadeh, Amir Salman Avestimehr

IEEE J. Sel. Areas Commun., 2014

Multihop Wireless Networks: A Unified Approach to Relaying and Interference Management.

Ilan Shomorony, Salman Avestimehr

Found. Trends Netw., 2014

Binary Fading Interference Channel with No CSIT.

Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

A generalized cut-set bound for deterministic multi-flow networks and its applications.

Ilan Shomorony, Amir Salman Avestimehr

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Blind wiretap channel with delayed CSIT.

Sina Lashgari, Amir Salman Avestimehr

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Align-and-forward relaying for two-hop erasure broadcast channels.

David T. H. Kao, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Communication through collisions: Opportunistic utilization of past receptions.

Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Blind MIMO wiretap channel with delayed CSIT.

Sina Lashgari, Amir Salman Avestimehr

Proceedings of the 2014 IEEE GLOBECOM Workshops, Austin, TX, USA, December 8-12, 2014, 2014

Sampling large data on graphs.

Ilan Shomorony, Amir Salman Avestimehr

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

ITLinQ: A new approach for spectrum sharing.

Navid Naderializadeh, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2014

How to utilize caching to improve spectral efficiency in device-to-device wireless networks.

Navid Naderializadeh, David T. H. Kao, Amir Salman Avestimehr

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Transmitter cooperation in interference channel with delayed CSIT.

Sina Lashgari, Amir Salman Avestimehr

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

Worst-Case Additive Noise in Wireless Networks.

Ilan Shomorony, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2013

Two-Unicast Wireless Networks: Characterizing the Degrees of Freedom.

Ilan Shomorony, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2013

Timely Throughput of Heterogeneous Wireless Networks: Fundamental Limits and Algorithms.

Sina Lashgari, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2013

Approximate Sum-Capacity of the Y-Channel.

Anas Chaaban, Aydin Sezgin, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2013

On Min-Cut Algorithms for Half-Duplex Relay Networks

Raúl H. Etkin, Farzad Parvaresh, Ilan Shomorony, Amir Salman Avestimehr

CoRR, 2013

On computing half-duplex relaying capacity in networks with orthogonal channels.

Farzad Parvaresh, Raúl H. Etkin, Ilan Shomorony, Amir Salman Avestimehr

Proceedings of the Iran Workshop on Communication and Information Theory, 2013

Operational extremality of Gaussianity in network compression, communication, and coding.

Himanshu Asnani, Ilan Shomorony, Amir Salman Avestimehr, Tsachy Weissman

Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Impact of topology on interference networks with no CSIT.

Navid Naderializadeh, Amir Salman Avestimehr

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Two-hop interference channels: Impact of linear time-varying schemes.

Ibrahim Issa, Silas L. Fong, Amir Salman Avestimehr

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

On efficient min-cut approximations in half-duplex relay networks.

Raúl H. Etkin, Farzad Parvaresh, Ilan Shomorony, Amir Salman Avestimehr

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

On degrees of freedom scaling in layered interference networks with delayed CSI.

Mohammad Javad Abdoli, Amir Salman Avestimehr

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

A latent social approach to YouTube popularity prediction.

Amandianeze O. Nwana, Salman Avestimehr, Tsuhan Chen

Proceedings of the 2013 IEEE Global Communications Conference, 2013

Approximate capacity of the two-user MISO Broadcast Channel with delayed CSIT.

Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

A rank ratio inequality and the linear degrees of freedom of X-channel with delayed CSIT.

Sina Lashgari, Amir Salman Avestimehr, Changho Suh

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Accuracy of the Morphology Enabled Dipole Inversion (MEDI) Algorithm for Quantitative Susceptibility Mapping in MRI.

Tian Liu, Weiyu Xu, Pascal Spincemaille, Amir Salman Avestimehr, Yi Wang

IEEE Trans. Medical Imaging, 2012

On the Maximum Achievable Sum-Rate With Successive Decoding in Interference Channels.

Yue Zhao, Chee Wei Tan, Amir Salman Avestimehr, Suhas N. Diggavi, Gregory J. Pottie

IEEE Trans. Inf. Theory, 2012

Interference Channels With Rate-Limited Feedback.

Alireza Vahid, Changho Suh, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2012

Divide-and-Conquer: Approaching the Capacity of the Two-Pair Bidirectional Gaussian Relay Network.

Aydin Sezgin, Amir Salman Avestimehr, M. Amin Khajehnejad, Babak Hassibi

IEEE Trans. Inf. Theory, 2012

Worst-case source for distributed compression with quadratic distortion.

Ilan Shomorony, Amir Salman Avestimehr, Himanshu Asnani, Tsachy Weissman

Proceedings of the 2012 IEEE Information Theory Workshop, 2012

On the role of deterministic models in K × K × K wireless networks.

Ilan Shomorony, Amir Salman Avestimehr

Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Binary fading interference channel with delayed feedback.

Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Bounds on the minimum energy-per-bit for bursty traffic in diamond networks.

Ilan Shomorony, Raúl H. Etkin, Farzad Parvaresh, Amir Salman Avestimehr

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Is Gaussian noise the worst-case additive noise in wireless networks?

Ilan Shomorony, Amir Salman Avestimehr

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Approximating the timely throughput of heterogeneous wireless networks.

Sina Lashgari, Amir Salman Avestimehr

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Learning beyond local view: Value and information in the bits.

Achaleshwar Sahai, Amir Salman Avestimehr, Ashutosh Sabharwal

Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

2011

Analyzing Weighted ₁ Minimization for Sparse Recovery With Nonuniform Sparse Models.

M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi

IEEE Trans. Signal Process., 2011

Cross-Layer Optimization for Wireless Networks With Deterministic Channel Models.

Ziyu Shao, Minghua Chen, Amir Salman Avestimehr, Shuo-Yen Robert Li

IEEE Trans. Inf. Theory, 2011

Network Error Correction With Unequal Link Capacities.

Sukwon Kim, Tracey Ho, Michelle Effros, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2011

Wireless Network Information Flow: A Deterministic Approach.

Amir Salman Avestimehr, Suhas N. Diggavi, David N. C. Tse

IEEE Trans. Inf. Theory, 2011

On Achieving Local View Capacity Via Maximal Independent Graph Scheduling.

Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal

IEEE Trans. Inf. Theory, 2011

Wireless Network Coding with Local Network Views: Coded Layer Scheduling

Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal

CoRR, 2011

Low-Complexity Near-Optimal Codes for Gaussian Relay Networks

Theodoros K. Dikaliotis, Hongyi Yao, Amir Salman Avestimehr, Sidharth Jaggi, Tracey Ho

CoRR, 2011

Two-Unicast Wireless Networks: Characterizing the Sum Degrees of Freedom

Ilan Shomorony, Amir Salman Avestimehr

CoRR, 2011

On network error correction with limited feedback capacity.

Tracey Ho, Sukwon Kim, Yanbo Yang, Michelle Effros, Amir Salman Avestimehr

Proceedings of the Information Theory and Applications Workshop, 2011

On the sum-capacity with successive decoding in interference channels.

Yue Zhao, Chee Wei Tan, Amir Salman Avestimehr, Suhas N. Diggavi, Gregory J. Pottie

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Sum degrees-of-freedom of two-unicast wireless networks.

Ilan Shomorony, Amir Salman Avestimehr

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Interference channel with binary fading: Effect of delayed network state information.

Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Maximal k-Clique Scheduling: A simple algorithm to bound maximal independent graph scheduling.

Kanes Sutuntivorakoon, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

On the sum capacity of the Y-channel.

Anas Chaaban, Aydin Sezgin, Amir Salman Avestimehr

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Information Theory Capacity of the two-way relay channel within a constant gap.

Amir Salman Avestimehr, Aydin Sezgin, David N. C. Tse

Eur. Trans. Telecommun., 2010

Analyzing Weighted ℓ₁ Minimization for Sparse Recovery with Nonuniform Sparse Models

M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi

CoRR, 2010

Improved Sparse Recovery Thresholds with Two-Step Reweighted ℓ₁ Minimization

M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi

CoRR, 2010

New results on network error correction: Capacities and upper bounds.

Sukwon Kim, Tracey Ho, Michelle Effros, Amir Salman Avestimehr

Proceedings of the Information Theory and Applications Workshop, 2010

The two-user deterministic interference channel with rate-limited feedback.

Alireza Vahid, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2010

Improved sparse recovery thresholds with two-step reweighted ℓ1 minimization.

M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi

Proceedings of the IEEE International Symposium on Information Theory, 2010

Normalized sum-capacity of interference networks with partial information.

Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal

Proceedings of the IEEE International Symposium on Information Theory, 2010

Breaking through the thresholds: an analysis for iterative reweighted <i>l</i>1 minimization via the Grassmann angle framework.

Weiyu Xu, M. Amin Khajehnejad, Amir Salman Avestimehr, Babak Hassibi

Proceedings of the IEEE International Conference on Acoustics, 2010

How (information theoretically) optimal are distributed decisions?

Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

On the capacity of multi-hop wireless networks with partial network knowledge.

Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Bidirectional multi-pair network with a MIMO relay: Beamforming strategies and lack of duality.

Aydin Sezgin, Holger Boche, Salman Avestimehr

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

Breaking through the Thresholds: an Analysis for Iterative Reweighted ℓ₁ Minimization via the Grassmann Angle Framework

Weiyu Xu, M. Amin Khajehnejad, Amir Salman Avestimehr, Babak Hassibi

CoRR, 2009

Weighted ℓ₁ Minimization for Sparse Recovery with Prior Information

M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi

CoRR, 2009

Capacity region of the deterministic multi-pair bi-directional relay network.

Amir Salman Avestimehr, M. Amin Khajehnejad, Aydin Sezgin, Babak Hassibi

Proceedings of the 2009 IEEE Information Theory Workshop, 2009

Approximate capacity of the symmetric half-duplex Gaussian butterfly network.

Amir Salman Avestimehr, Tracey Ho

Proceedings of the 2009 IEEE Information Theory Workshop, 2009

Weighted ℓ1 minimization for sparse recovery with prior information.

M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi

Proceedings of the IEEE International Symposium on Information Theory, 2009

Approximate capacity region of the two-pair bidirectional Gaussian relay network.

Babak Hassibi, Aydin Sezgin, M. Amin Khajehnejad, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2009

On networks with side information.

Asaf Cohen, Amir Salman Avestimehr, Michelle Effros

Proceedings of the IEEE International Symposium on Information Theory, 2009

Breaking the ℓ1 recovery thresholds with reweighted ℓ1 optimization.

Weiyu Xu, M. Amin Khajehnejad, Amir Salman Avestimehr, Babak Hassibi

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

Distributed universally optimal strategies for interference channels with partial message passing.

Vaneet Aggarwal, Salman Avestimehr, Ashutosh Sabharwal

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Approximate capacity of Gaussian relay networks.

Amir Salman Avestimehr, Suhas N. Diggavi, David Tse

Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Diversity-multiplexing tradeoff of the half-duplex relay channel.

Sameer Pawar, Amir Salman Avestimehr, David N. C. Tse

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

Approximate capacity of the two-way relay channel: A deterministic approach.

Amir Salman Avestimehr, Aydin Sezgin, David N. C. Tse

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2007

Outage Capacity of the Fading Relay Channel in the Low-SNR Regime.

Amir Salman Avestimehr, David N. C. Tse

IEEE Trans. Inf. Theory, 2007

Wireless Network Information Flow

Amir Salman Avestimehr, Suhas N. Diggavi, David N. C. Tse

CoRR, 2007

A Deterministic Approach to Wireless Relay Networks

Amir Salman Avestimehr, Suhas N. Diggavi, David N. C. Tse

CoRR, 2007

A Deterministic Model for Wreless Relay Networks an its Capacity.

Amir Salman Avestimehr, Suhas N. Diggavi, David N. C. Tse

Proceedings of the IEEE Information Theory Workshop on Information Theory for Wireless Networks, 2007

2005

Anytime communication over the Gilbert-Eliot channel with noiseless feedback.

Anant Sahai, Salman Avestimehr, Paolo Minero

Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

Outage-optimal relaying in the low SNR regime.

Amir Salman Avestimehr, David N. C. Tse

Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

2003

Multirate structures for arbitrary rate error control coding.

Amir Salman Avestimehr, Kambiz Nayebi, Shohreh Kasaei

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003