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Pranay Sharma

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Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling

Jun 21, 2022
Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri

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Distributed Estimation in Large Scale Wireless Sensor Networks via a Two Step Group-based Approach

Mar 17, 2022
Shan Zhang, Pranay Sharma, Baocheng Geng, Pramod K. Varshney

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Federated Minimax Optimization: Improved Convergence Analyses and Algorithms

Mar 09, 2022
Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod K. Varshney

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

Jun 19, 2021
Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney

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

Dec 21, 2020
Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney

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

Dec 12, 2019
Pranay Sharma, Prashant Khanduri, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney

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

Jun 25, 2018
Kush R. Varshney, Prashant Khanduri, Pranay Sharma, Shan Zhang, Pramod K. Varshney

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