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Weiyu Li
Weiyu Li
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Title
Cited by
Cited by
Year
Byzantine-robust decentralized stochastic optimization over static and time-varying networks
J Peng, W Li, Q Ling
Signal Processing 183, 108020, 2021
332021
Communication-censored linearized ADMM for decentralized consensus optimization
W Li, Y Liu, Z Tian, Q Ling
IEEE Transactions on Signal and Information Processing over Networks 6, 18-34, 2019
252019
COLA: Communication-censored linearized ADMM for decentralized consensus optimization
W Li, Y Liu, Z Tian, Q Ling
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
162019
Communication-censored distributed stochastic gradient descent
W Li, Z Wu, T Chen, L Li, Q Ling
IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6831-6843, 2021
142021
On the optimal control of network LQR with spatially-exponential decaying structure
RC Zhang, W Li, N Li
2023 American Control Conference (ACC), 1775-1780, 2023
62023
Variance reduction-boosted Byzantine robustness in decentralized stochastic optimization
J Peng, W Li, Q Ling
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
62022
On the relationship of optimal state feedback and disturbance response controllers
RC Zhang, Y Zheng, W Li, N Li
IFAC-PapersOnLine 56 (2), 7503-7508, 2023
22023
Stochastic alternating direction method of multipliers for Byzantine-robust distributed learning
F Lin, W Li, Q Ling
Signal Processing 195, 108501, 2022
22022
Stochastic alternating direction method of multipliers for byzantine-robust distributed learning
F Lin, W Li, Q Ling
arXiv preprint arXiv:2106.06891, 2021
22021
Stochastic Admm for Byzantine-robust distributed learning
F Lin, Q Ling, W Li, Z Xiong
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
22020
Byzantine-robust decentralized stochastic optimization with stochastic gradient noise-independent learning error
J Peng, W Li, Q Ling
Signal Processing, 109419, 2024
12024
Best subset selection in reduced rank regression
C Wen, R Dong, X Wang, W Li, H Zhang
arXiv preprint arXiv:2211.15889, 2022
12022
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