Can Karakus

According to our database, Can Karakus authored at least 21 papers between 2011 and 2024.

Collaborative distances:

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

2024

MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent.

Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2021

Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training.

Can Karakus, Rahul Huilgol, Fei Wu, Anirudh Subramanian, Cade Daniel, Derya Çavdar, Teng Xu, Haohan Chen, Arash Rahnama, Luis Quintela

CoRR, 2021

2020

Qsparse-Local-SGD: Distributed SGD With Quantization, Sparsification, and Local Computations.

Debraj Basu, Deepesh Data, Can Karakus, Suhas N. Diggavi

IEEE J. Sel. Areas Inf. Theory, 2020

Herring: rethinking the parameter server at scale for the cloud.

Indu Thangakrishnan, Derya Cavdar, Can Karakus, Piyush Ghai, Yauheni Selivonchyk, Cory Pruce

Proceedings of the International Conference for High Performance Computing, 2020

2019

Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning.

Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin

J. Mach. Learn. Res., 2019

Differentially Private Consensus-Based Distributed Optimization.

Mehrdad Showkatbakhsh, Can Karakus, Suhas N. Diggavi

CoRR, 2019

Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models.

Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang

Proceedings of the High Performance Computing - 34th International Conference, 2019

2018

Robust Communication and Optimization over Dynamic Networks.

Can Karakus

PhD thesis, 2018

Approximate Capacity of Fast Fading Interference Channels With no Instantaneous CSIT.

Joyson Sebastian, Can Karakus, Suhas N. Diggavi

IEEE Trans. Commun., 2018

Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise.

Mehrdad Showkatbakhsh, Can Karakus, Suhas N. Diggavi

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

2017

Enhancing Multiuser MIMO Through Opportunistic D2D Cooperation.

Can Karakus, Suhas N. Diggavi

IEEE Trans. Wirel. Commun., 2017

Approximate capacity of Fading Gaussian Interference Channels with Point-to-Point codes.

Joyson Sebastian, Can Karakus, Suhas N. Diggavi

CoRR, 2017

Straggler Mitigation in Distributed Optimization Through Data Encoding.

Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin

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

Encoded distributed optimization.

Can Karakus, Yifan Sun, Suhas N. Diggavi

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

2016

Approximately achieving the feedback interference channel capacity with point-to-point codes.

Joyson Sebastian, Can Karakus, Suhas N. Diggavi

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

Gaussian Interference Channel With Intermittent Feedback.

Can Karakus, I-Hsiang Wang, Suhas N. Diggavi

IEEE Trans. Inf. Theory, 2015

Opportunistic scheduling for full-duplex uplink-downlink networks.

Can Karakus, Suhas N. Diggavi

Proceedings of the IEEE International Symposium on Information Theory, 2015

Rate splitting is approximately optimal for fading Gaussian interference channels.

Joyson Sebastian, Can Karakus, Suhas N. Diggavi, I-Hsiang Wang

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

2013

Interference channel with intermittent feedback.

Can Karakus, I-Hsiang Wang, Suhas N. Diggavi

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

An achievable rate region for Gaussian interference channel with intermittent feedback.

Can Karakus, I-Hsiang Wang, Suhas N. Diggavi

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

2011

Shifting network tomography toward a practical goal.

Denisa Ghita, Can Karakus, Katerina J. Argyraki, Patrick Thiran

Proceedings of the 2011 Conference on Emerging Networking Experiments and Technologies, 2011