Yiming Chen

According to our database, Yiming Chen authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Yutong He, Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan

CoRR, 2023

2022

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

Kun Yuan, Xinmeng Huang, Yiming Chen, Xiaohan Zhang, Yingya Zhang, Pan Pan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning.

Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin

CoRR, 2021

Exponential Graph is Provably Efficient for Decentralized Deep Training.

Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accelerating Gossip SGD with Periodic Global Averaging.

Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin

Proceedings of the 38th International Conference on Machine Learning, 2021

DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training.

Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Large-Scale Training System for 100-Million Classification at Alibaba.

Liuyihan Song, Pan Pan, Kang Zhao, Hao Yang, Yiming Chen, Yingya Zhang, Yinghui Xu, Rong Jin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020