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News/Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems
arxiv
PublishedOctober 5, 2026 at 4:00 AM
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Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems

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arXiv:2307.07113v2 Announce Type: replace-cross Abstract: In this paper, we consider the decentralized, stochastic nonconvex strongly-concave (NCSC) minimax problem with nonsmooth regularization terms on both primal and dual variables, wherein a network of $m$ computing agents collaborate via peer-t

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