A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization
–Neural Information Processing Systems
In this paper, we study the distributed convex-concave finite-sum minimax optimization over the network, and a decentralized variance-reduced optimistic gradient method with stochastic mini-batch sizes (DIVERSE) is proposed.
Neural Information Processing Systems
Jun-13-2026, 20:57:30 GMT
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