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Faster Rates for Federated Variational Inequalities

In this paper, we study federated optimization for solving stochastic variational inequalities (VIs), a problem that has attracted growing attention in recent years. Despite substantial progress, a significant gap remains between existing convergence rates and the state-of-the-art bounds known for…

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  1. 2026-09-28 00:00 · Apple Machine Learning Research
    Faster Rates for Federated Variational Inequalities

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