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20192026
most citedFederated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks

229 citations · 260 across the 12 of their papers we have counts for

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math.OC2026

Optimization under Persistent State-Dependent Bias: Gradient-based Method and Complexity Analysis

Zhaoxian Wu, Quan Xiao, Tayfun Gokmen +1

This paper studies the convergence of stochastic gradient descent (SGD) when the implemented updates are subject to a persistent and state-dependent bias, in which the desired upda…

math.OC2020★ 22 cited

Byzantine-Resilient Decentralized TD Learning with Linear Function Approximation

Zhaoxian Wu, Han Shen, Tianyi Chen +1

This paper considers the policy evaluation problem in a multi-agent reinforcement learning (MARL) environment over decentralized and directed networks. The focus is on decentralize…