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20192026
most citedDistributed stochastic gradient tracking algorithm with variance reduction for non-convex optimization

1 citations · 4 across the 10 of their papers we have counts for

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math.OC2024

Shuffling Gradient Descent-Ascent with Variance Reduction for Nonconvex-Strongly Concave Smooth Minimax Problems

Xia Jiang, Linglingzhi Zhu, Anthony Man-Cho So +2

In recent years, there has been considerable interest in designing stochastic first-order algorithms to tackle finite-sum smooth minimax problems. To obtain the gradient estimates,…