AI

Faster Rates for Federated Variational Inequalities

Researchers study federated optimization methods for stochastic variational inequalities and establish new convergence bounds. Their work addresses a gap between existing results for these problems and state-of-the-art rates in federated convex optimization.

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  1. Apple Machine Learning Research

    Faster Rates for Federated Variational Inequalities

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