Xinmeng Huang | DeepAI

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Featured Co-authors

Ping Li
179 publications
Wotao Yin
63 publications
Kun Yuan
47 publications
Yiming Chen
30 publications
Xiaohan Zhang
29 publications
Xiaoyun Li
21 publications
Yinghui Xu
19 publications
Pan Pan
15 publications
Yutong He
13 publications
Yingya Zhang
11 publications
Ernest K. Ryu
10 publications

∙ 08/16/2023

Stochastic Controlled Averaging for Federated Learning with Communication Compression

Communication compression, a technique aiming to reduce the information ...

0 Xinmeng Huang, et al. ∙

∙ 06/28/2023

Momentum Benefits Non-IID Federated Learning Simply and Provably

Federated learning is a powerful paradigm for large-scale machine learni...

0 Ziheng Cheng, et al. ∙

∙ 05/25/2023

Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?

Communication compression is a common technique in distributed optimizat...

0 Yutong He, et al. ∙

∙ 05/12/2023

Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression

Communication compression is an essential strategy for alleviating commu...

0 Yutong He, et al. ∙

∙ 11/01/2022

Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks

Decentralized optimization with time-varying networks is an emerging par...

0 Xinmeng Huang, et al. ∙

∙ 10/14/2022

Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization

Decentralized optimization is effective to save communication in large-s...

0 Kun Yuan, et al. ∙

∙ 06/08/2022

Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression

Recent advances in distributed optimization and learning have shown that...

0 Xinmeng Huang, et al. ∙

∙ 04/25/2021

On the Comparison between Cyclic Sampling and Random Reshuffling

When applying a stochastic/incremental algorithm, one must choose the or...

14 Xinmeng Huang, et al. ∙

∙ 04/24/2021

DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training

The scale of deep learning nowadays calls for efficient distributed trai...

20 Kun Yuan, et al. ∙

∙ 12/28/2019

Scaled Relative Graph of Normal Matrices

The Scaled Relative Graph (SRG) by Ryu, Hannah, and Yin (arXiv:1902.0978...

0 Xinmeng Huang, et al. ∙

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