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


Nov 01, 2022
Xinmeng Huang, Kun Yuan

* Accepted by 14th Annual Workshop on Optimization for Machine Learning. arXiv admin note: text overlap with arXiv:2210.07863 

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Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate


Oct 14, 2022
Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan

* NeurIPS 2022 

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


Oct 14, 2022
Kun Yuan, Xinmeng Huang, Yiming Chen, Xiaohan Zhang, Yingya Zhang, Pan Pan


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On the Performance of Gradient Tracking with Local Updates


Oct 10, 2022
Edward Duc Hien Nguyen, Sulaiman A. Alghunaim, Kun Yuan, César A. Uribe

* 8 pages, 1 figure, submitted to ACC 

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


Jun 08, 2022
Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan


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Heavy-Tail Phenomenon in Decentralized SGD


May 16, 2022
Mert Gurbuzbalaban, Yuanhan Hu, Umut Simsekli, Kun Yuan, Lingjiong Zhu


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ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks


Apr 16, 2022
Zhuojie Wu, Xingqun Qi, Zijian Wang, Wanting Zhou, Kun Yuan, Muyi Sun, Zhenan Sun


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CHEX: CHannel EXploration for CNN Model Compression


Mar 29, 2022
Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung

* Accepted to CVPR 2022 

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Self-supervised Correlation Mining Network for Person Image Generation


Nov 29, 2021
Zijian Wang, Xingqun Qi, Kun Yuan, Muyi Sun


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