MARINA, a compression-based distributed method, is adapted to cocoercive strongly monotone variational inequalities and proven to converge linearly with a communication complexity of O((1+δ(ℓ/µ)(1+α/n)) log(1/ε)).
Sarah-based variance-reduced algorithm for stochastic finite-sum cocoercive variational inequalities
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Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities
MARINA, a compression-based distributed method, is adapted to cocoercive strongly monotone variational inequalities and proven to converge linearly with a communication complexity of O((1+δ(ℓ/µ)(1+α/n)) log(1/ε)).