Faster Rates for Federated Variational Inequalities

Researchers Guanghui Wang and Satyen Kale present improved convergence rates for federated optimization solving stochastic variational inequalities. They refine Local Extra SGD analysis and propose a new algorithm, LIPPAX, to reduce client drift and enhance performance in various settings.