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Kun Yuan
Kun Yuan
Center for Machine Learning Research, Peking University
Bestätigte E-Mail-Adresse bei pku.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
On the linear convergence of the ADMM in decentralized consensus optimization
W Shi, Q Ling, K Yuan, G Wu, W Yin
IEEE Transactions on Signal Processing 62 (7), 1750-1761, 2014
8862014
On the convergence of decentralized gradient descent
K Yuan, Q Ling, W Yin
SIAM Journal on Optimization 26 (3), 1835-1854, 2016
7062016
Exact diffusion for distributed optimization and learning—Part I: Algorithm development
K Yuan, B Ying, X Zhao, AH Sayed
IEEE Transactions on Signal Processing 67 (3), 708-723, 2019
2182019
Decentralized consensus optimization with asynchrony and delays
T Wu, K Yuan, Q Ling, W Yin, AH Sayed
IEEE Transactions on Signal and Information Processing over Networks 4 (2 …, 2017
1542017
Decentralized proximal gradient algorithms with linear convergence rates
SA Alghunaim, EK Ryu, K Yuan, AH Sayed
IEEE Transactions on Automatic Control 66 (6), 2787-2794, 2020
1092020
Variance-reduced stochastic learning by networked agents under random reshuffling
K Yuan, B Ying, J Liu, AH Sayed
IEEE Transactions on Signal Processing 67 (2), 351-366, 2019
98*2019
Exact diffusion for distributed optimization and learning—Part II: Convergence analysis
K Yuan, B Ying, X Zhao, AH Sayed
IEEE Transactions on Signal Processing 67 (3), 724-739, 2019
922019
A linearly convergent proximal gradient algorithm for decentralized optimization
S Alghunaim, K Yuan, AH Sayed
Advances in Neural Information Processing Systems 32, 2019
752019
Walkman: A communication-efficient random-walk algorithm for decentralized optimization
X Mao, K Yuan, Y Hu, Y Gu, AH Sayed, W Yin
IEEE Transactions on Signal Processing 68, 2513-2528, 2020
642020
Exponential Graph is Provably Efficient for Decentralized Deep Training
B Ying*, K Yuan*, Y Chen*, H Hu, P Pan, W Yin
NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, 2021
592021
On the influence of momentum acceleration on online learning
K Yuan, B Ying, AH Sayed
Journal of Machine Learning Research 17 (192), 1-66, 2016
582016
Supervised learning under distributed features
B Ying, K Yuan, AH Sayed
IEEE Transactions on Signal Processing 67 (4), 977-992, 2018
532018
CHEX: CHannel EXploration for CNN Model Compression
Z Hou, M Qin, F Sun, X Ma, K Yuan, Y Xu, YK Chen, R Jin, Y Xie, SY Kung
CVPR 2022 - IEEE/CVF Computer Vision and Pattern Recognition Conference, 2022
502022
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
482021
On the Influence of Bias-Correction on Distributed Stochastic Optimization
K Yuan, SA Alghunaim, B Ying, AH Sayed
IEEE Transactions on Signal Processing 68, 4352 - 4367, 2020
482020
A proximal diffusion strategy for multiagent optimization with sparse affine constraints
SA Alghunaim, K Yuan, AH Sayed
IEEE Transactions on Automatic Control 65 (11), 4554-4567, 2019
402019
A unified and refined convergence analysis for non-convex decentralized learning
SA Alghunaim, K Yuan
IEEE Transactions on Signal Processing 70, 3264-3279, 2022
392022
Multiagent fully decentralized value function learning with linear convergence rates
L Cassano, K Yuan, AH Sayed
IEEE Transactions on Automatic Control 66 (4), 1497-1512, 2020
392020
Ode analysis of stochastic gradient methods with optimism and anchoring for minimax problems
EK Ryu, K Yuan, W Yin
arXiv preprint arXiv:1905.10899, 2019
392019
Stochastic learning under random reshuffling with constant step-sizes
B Ying, K Yuan, S Vlaski, AH Sayed
IEEE Transactions on Signal Processing 67 (2), 474-489, 2018
382018
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