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20202026
most citedByzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data

7 citations · 7 across the 5 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…