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Kun Yuan
Kun Yuan
Center for Machine Learning Research, Peking University
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
8762014
On the convergence of decentralized gradient descent
K Yuan, Q Ling, W Yin
SIAM Journal on Optimization 26 (3), 1835-1854, 2016
6802016
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
2082019
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
1482017
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
1032020
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
96*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
902019
A linearly convergent proximal gradient algorithm for decentralized optimization
S Alghunaim, K Yuan, AH Sayed
Advances in Neural Information Processing Systems 32, 2019
742019
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
612020
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
552021
Supervised learning under distributed features
B Ying, K Yuan, AH Sayed
IEEE Transactions on Signal Processing 67 (4), 977-992, 2018
542018
On the influence of momentum acceleration on online learning
K Yuan, B Ying, AH Sayed
The Journal of Machine Learning Research 17 (1), 6602-6667, 2016
542016
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
462022
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
462020
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
382020
Stochastic gradient descent with finite samples sizes
K Yuan, B Ying, S Vlaski, AH Sayed
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
382016
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
362021
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
362019
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
362018
Can Primal Methods Outperform Primal-dual Methods in Decentralized Dynamic Optimization?
K Yuan, W Xu, Q Ling
IEEE Transactions on Signal Processing 68, 4466 - 4480, 2020
332020
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