Kun Yuan
Kun Yuan
DAMO Academy, Alibaba Group
Zweryfikowany adres z alibaba-inc.com
Tytuł
Cytowane przez
Cytowane przez
Rok
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
6082014
On the convergence of decentralized gradient descent
K Yuan, Q Ling, W Yin
SIAM Journal on Optimization 26 (3), 1835-1854, 2016
4182016
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, 2018
1182018
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
1002017
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, 2018
63*2018
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, 2018
572018
A linearly convergent proximal gradient algorithm for decentralized optimization
S Alghunaim, K Yuan, AH Sayed
Advances in Neural Information Processing Systems 32, 2848-2858, 2019
352019
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
312020
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
282016
Supervised learning under distributed features
B Ying, K Yuan, AH Sayed
IEEE Transactions on Signal Processing 67 (4), 977-992, 2018
262018
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
252016
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
242020
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
222018
Convergence of variance-reduced stochastic learning under random reshuffling
B Ying, K Yuan, AH Sayed
arXiv preprint arXiv:1708.01383 2 (3), 6, 2017
202017
A linearized Bregman algorithm for decentralized basis pursuit
K Yuan, Q Ling, W Yin, A Ribeiro
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
172013
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
152020
Communication-efficient decentralized event monitoring in wireless sensor networks
K Yuan, Q Ling, Z Tian
IEEE Transactions on Parallel and Distributed Systems 26 (8), 2198-2207, 2014
152014
On the performance of exact diffusion over adaptive networks
K Yuan, SA Alghunaim, B Ying, AH Sayed
2019 IEEE 58th Conference on Decision and Control (CDC), 4898-4903, 2019
142019
Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers
W Shi, Q Ling, K Yuan, G Wu, W Yin
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
142013
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
132020
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