Sharma, Pranay

15 publications

TMLR 2026 Natural Policy Gradient for Average Reward Non-Stationary Reinforcement Learning Neharika Jali, Eshika Pathak, Pranay Sharma, Guannan Qu, Gauri Joshi

ICLR 2025 Debiasing Federated Learning with Correlated Client Participation Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, Pranay Sharma, Ermin Wei

AISTATS 2025 Federated Communication-Efficient Multi-Objective Optimization Baris Askin, Pranay Sharma, Gauri Joshi, Carlee Joe-Wong

AISTATS 2025 High-Probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent Under Heavy-Tailed Noise Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar

TMLR 2025 Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning Divyansh Jhunjhunwala, Pranay Sharma, Zheng Xu, Gauri Joshi

UAI 2024 FedAST: Federated Asynchronous Simultaneous Training Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi

NeurIPS 2023 Correlation Aware Sparsified Mean Estimation Using Random Projection Shuli Jiang, Pranay Sharma, Gauri Joshi

TMLR 2023 Federated Minimax Optimization with Client Heterogeneity Pranay Sharma, Rohan Panda, Gauri Joshi

NeurIPS 2023 Model Sparsity Can Simplify Machine Unlearning Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

ICML 2023 On the Convergence of Federated Averaging with Cyclic Client Participation Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang

ICLR 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

ICML 2022 Federated Minimax Optimization: Improved Convergence Analyses and Algorithms Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod Varshney

ICML 2022 Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri

UAI 2022 Fedvarp: Tackling the Variance Due to Partial Client Participation in Federated Learning Divyansh Jhunjhunwala, Pranay Sharma, Aushim Nagarkatti, Gauri Joshi

NeurIPS 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 Varshney