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cs.LG2024
Debiasing Federated Learning with Correlated Client Participation
Zhenyu Sun, Ziyang Zhang, Zheng Xu +3
In cross-device federated learning (FL) with millions of mobile clients, only a small subset of clients participate in training in every communication round, and Federated Averagin…
cs.LG2024
A Stochastic Quasi-Newton Method for Non-convex Optimization with Non-uniform Smoothness
Zhenyu Sun, Ermin Wei
Classical convergence analyses for optimization algorithms rely on the widely-adopted uniform smoothness assumption. However, recent experimental studies have demonstrated that man…