Pranay Sharma

According to our database, Pranay Sharma authored at least 33 papers between 2011 and 2024.

Collaborative distances:

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

2024

Debiasing Federated Learning with Correlated Client Participation.

Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, Pranay Sharma, Ermin Wei

CoRR, 2024

FedAST: Federated Asynchronous Simultaneous Training.

Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi

CoRR, 2024

On Improved Distributed Random Reshuffling over Networks.

Pranay Sharma, Jiarui Li, Gauri Joshi

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Federated Minimax Optimization with Client Heterogeneity.

Pranay Sharma, Rohan Panda, Gauri Joshi

Trans. Mach. Learn. Res., 2023

High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise.

Aleksandar Armacki, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar

CoRR, 2023

Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation.

Davoud Ataee Tarzanagh, Mingchen Li, Pranay Sharma, Samet Oymak

CoRR, 2023

Model Sparsification Can Simplify Machine Unlearning.

Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

CoRR, 2023

Correlation Aware Sparsified Mean Estimation Using Random Projection.

Shuli Jiang, Pranay Sharma, Gauri Joshi

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

Model Sparsity Can Simplify Machine Unlearning.

Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

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

On the Convergence of Federated Averaging with Cyclic Client Participation.

Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang

Proceedings of the International Conference on Machine Learning, 2023

What Is Missing in IRM Training and Evaluation? Challenges and Solutions.

Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush R. Varshney, Sijia Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Fedvarp: Tackling the variance due to partial client participation in federated learning.

Divyansh Jhunjhunwala, Pranay Sharma, Aushim Nagarkatti, Gauri Joshi

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Federated Minimax Optimization: Improved Convergence Analyses and Algorithms.

Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod K. Varshney

Proceedings of the International Conference on Machine Learning, 2022

Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling.

Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri

Proceedings of the International Conference on Machine Learning, 2022

2021

Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations.

Saikiran Bulusu, Prashant Khanduri, Swatantra Kafle, Pranay Sharma, Pramod K. Varshney

IEEE Trans. Signal Inf. Process. over Networks, 2021

STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning.

Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit.

Pranay Sharma, Prashant Khanduri, Lixin Shen, Donald J. Bucci, Pramod K. Varshney

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Communication Network Topology Inference via Transfer Entropy.

Pranay Sharma, Donald J. Bucci, Swastik K. Brahma, Pramod K. Varshney

IEEE Trans. Netw. Sci. Eng., 2020

Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework.

Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney

CoRR, 2020

Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction.

Prashant Khanduri, Pranay Sharma, Swatantra Kafle, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney

CoRR, 2020

Application of IoT and Machine Learning for Real-time Driver Monitoring and Assisting Device.

Pranay Sharma, Naveksha Sood

Proceedings of the 11th International Conference on Computing, 2020

On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines.

Saikiran Bulusu, Prashant Khanduri, Pranay Sharma, Pramod K. Varshney

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Decentralized Gaussian Filters for Cooperative Self-Localization and Multi-Target Tracking.

Pranay Sharma, Augustin-Alexandru Saucan, Donald J. Bucci, Pramod K. Varshney

IEEE Trans. Signal Process., 2019

Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity.

Pranay Sharma, Prashant Khanduri, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney

CoRR, 2019

Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations.

Prashant Khanduri, Saikiran Bulusu, Pranay Sharma, Pramod K. Varshney

CoRR, 2019

On Decentralized Self-localization and Tracking Under Measurement Origin Uncertainty.

Pranay Sharma, Augustin-Alexandru Saucan, Donald J. Bucci, Pramod K. Varshney

Proceedings of the 22th International Conference on Information Fusion, 2019

2018

Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory.

Kush R. Varshney, Prashant Khanduri, Pranay Sharma, Shan Zhang, Pramod K. Varshney

CoRR, 2018

On Self-Localization and Tracking with an Unknown Number of Targets.

Pranay Sharma, Augustin-Alexandru Saucan, Donald J. Bucci, Pramod K. Varshney

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2013

Dynamic Traffic Control with Fairness and Throughput Optimization Using Vehicular Communications.

Lien-Wu Chen, Pranay Sharma, Yu-Chee Tseng

IEEE J. Sel. Areas Commun., 2013

A lane-level dynamic traffic control system for driving efficiency optimization based on vehicular networks.

Lien-Wu Chen, Chia-Chen Chang, Pranay Sharma, Jen-Hsiang Cheng, Chien-Cheng Wu, Yu-Chee Tseng

Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications Workshops, 2013

2012

A dynamic password-based user authentication scheme for hierarchical wireless sensor networks.

Ashok Kumar Das, Pranay Sharma, Santanu Chatterjee, Jamuna Kanta Sing

J. Netw. Comput. Appl., 2012

2011

Eco-Sign: a load-based traffic light control system for environmental protection with vehicular communications.

Lien-Wu Chen, Pranay Sharma, Yu-Chee Tseng

Proceedings of the ACM SIGCOMM 2011 Conference on Applications, 2011

On noise-enhanced distributed inference in the presence of Byzantines.

Mukul Gagrani, Pranay Sharma, Satish G. Iyengar, V. Sriram Siddhardh Nadendla, Aditya Vempaty, Hao Chen, Pramod K. Varshney

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