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Hao-Min Bai

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#machine learning Preprint Oct 2026

Dimension-Free Decentralized Nonsmooth Nonconvex Stochastic Optimization

We investigate decentralized nonsmooth nonconvex stochastic optimization over a network of $n$ nodes, with the goal of finding an $(\delta,\epsilon)$-Goldstein stationary point. The best existing algorithm achieves $O(\delta^{-1}(\epsilon^{-3}+d\epsilon^{-1}))$ sample complexity and $\widetilde{O}(\gamma^{-1/2}\delta^{...

Yuanyu Wan, Lan Xue, Hao-Min Bai et al. · 0 citations
#machine learning Preprint Sep 2026

Communication-Efficient Agnostic Federated Learning via Faster Convergence and Compression

Agnostic federated learning (AFL) seeks a model that performs reliably across $m$ heterogeneous workers, but communication remains a bottleneck. We improve communication efficiency by reducing the number of synchronization rounds via faster convergence and the communication cost per round via compression. We first prop...

Hao-Min Bai, Jun-Yan Sun, Si-Fan Yang et al. · 0 citations

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