Kun Yuan
Kun Yuan
Ph.D student, Electrical and Computer Engineering, UCLA
Verified email at g.ucla.edu
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
5922014
On the convergence of decentralized gradient descent
K Yuan, Q Ling, W Yin
SIAM Journal on Optimization 26 (3), 1835-1854, 2016
3872016
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
1162018
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
942017
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
582018
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
58*2018
A linearly convergent proximal gradient algorithm for decentralized optimization
SA Alghunaim, K Yuan, AH Sayed
arXiv preprint arXiv:1905.07996, 2019
312019
Decentralized proximal gradient algorithms with linear convergence rates
SA Alghunaim, E Ryu, K Yuan, AH Sayed
IEEE Transactions on Automatic Control, 2020
262020
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
262016
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
Supervised learning under distributed features
B Ying, K Yuan, AH Sayed
IEEE Transactions on Signal Processing 67 (4), 977-992, 2018
242018
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
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
192018
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
182020
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
182013
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
Convergence of variance-reduced learning under random reshuffling
B Ying, K Yuan, AH Sayed
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
112018
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