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cs.LG2026
Faster Rates For Federated Variational Inequalities
Guanghui Wang, Satyen Kale
In this paper, we study federated optimization for solving stochastic variational inequalities (VIs), a problem that has attracted growing attention in recent years. Despite substa…
cs.LG2023
Faster Margin Maximization Rates for Generic and Adversarially Robust Optimization Methods
Guanghui Wang, Zihao Hu, Claudio Gentile +2
First-order optimization methods tend to inherently favor certain solutions over others when minimizing an underdetermined training objective that has multiple global optima. This…