| Exponential Graph is Provably Efficient for Decentralized Deep Training B Yin*, K Yuan*, Y Chen*, H Hu, P Pan, W Yin NeurIPS 2021 - Thirty-fifth Conference on Neural Information Processing Systems, 2021 | 60 | 2021 |
| DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training K Yuan*, Y Chen*, X Huang*, Y Zhang, P Pan, Y Xu, W Yin ICCV 2021 - International Conference on Computer Vision, 2021 | 48 | 2021 |
| Accelerating Gossip SGD with Periodic Global Averaging Y Chen*, K Yuan*, Y Zhang, P Pan, Y Xu, W Yin ICML 2021 - Proceedings of the 38th International Conference on Machine Learning, 2021 | 36 | 2021 |
| Large-scale training system for 100-million classification at alibaba L Song, P Pan, K Zhao, H Yang, Y Chen, Y Zhang, Y Xu, R Jin Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 27 | 2020 |
| Bluefog: Make decentralized algorithms practical for optimization and deep learning B Ying, K Yuan, H Hu, Y Chen, W Yin arXiv preprint arXiv:2111.04287, 2021 | 21 | 2021 |
| Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization K Yuan*, X Huang*, Y Chen*, X Zhang, Y Zhang, P Pan NeurIPS 2022 - Thirty-sixth Conference on Neural Information Processing Systems, 2022 | 17 | 2022 |
| Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression X Huang*, Y Chen*, W Yin, K Yuan NeurIPS 2022 - Thirty-sixth Conference on Neural Information Processing Systems, 2022 | 14 | 2022 |
| Lower bounds and accelerated algorithms in distributed stochastic optimization with communication compression Y He, X Huang, Y Chen, W Yin, K Yuan arXiv preprint arXiv:2305.07612, 2023 | 3 | 2023 |
| Communicate Then Adapt: An Effective Decentralized Adaptive Method for Deep Training B Ying, K Yuan, Y Chen, H Hu, Y Zhang, P Pan, W Yin | | 2021 |
Kun YuanCenter for Machine Learning Research, Peking UniversityVerified email at pku.edu.cn
