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Shi Pu 濮实
Shi Pu 濮实
Assistant Professor, The Chinese University of Hong Kong, Shenzhen, China
Bestätigte E-Mail-Adresse bei cuhk.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Push–pull gradient methods for distributed optimization in networks
S Pu, W Shi, J Xu, A Nedić
IEEE Transactions on Automatic Control 66 (1), 1-16, 2020
3322020
Distributed stochastic gradient tracking methods
S Pu, A Nedić
Mathematical Programming 187 (1), 409-457, 2021
2782021
A general framework for decentralized optimization with first-order methods
R Xin, S Pu, A Nedić, UA Khan
Proceedings of the IEEE 108 (11), 1869-1889, 2020
832020
A sharp estimate on the transient time of distributed stochastic gradient descent
S Pu, A Olshevsky, IC Paschalidis
IEEE Transactions on Automatic Control, 2021
55*2021
Asymptotic network independence in distributed stochastic optimization for machine learning: Examining distributed and centralized stochastic gradient descent
S Pu, A Olshevsky, IC Paschalidis
IEEE signal processing magazine 37 (3), 114-122, 2020
46*2020
A Compressed Gradient Tracking Method for Decentralized Optimization with Linear Convergence
Y Liao, Z Li, K Huang, S Pu
IEEE Transactions on Automatic Control, 2022
30*2022
A flocking-based approach for distributed stochastic optimization
S Pu, A Garcia
Operations Research 66 (1), 267-281, 2018
232018
A robust gradient tracking method for distributed optimization over directed networks
S Pu
2020 59th IEEE Conference on Decision and Control (CDC), 2335-2341, 2020
222020
Optimal gradient tracking for decentralized optimization
Z Song, L Shi, S Pu, M Yan
Mathematical Programming, 1-53, 2023
212023
Compressed gradient tracking for decentralized optimization over general directed networks
Z Song, L Shi, S Pu, M Yan
IEEE Transactions on Signal Processing, 2022
182022
Improving the transient times for distributed stochastic gradient methods
K Huang, S Pu
IEEE Transactions on Automatic Control, 2022
172022
Swarming for faster convergence in stochastic optimization
S Pu, A Garcia
SIAM Journal on Control and Optimization 56 (4), 2997-3020, 2018
152018
Noise reduction by swarming in social foraging
S Pu, A Garcia, Z Lin
IEEE Transactions on Automatic Control 61 (12), 4007-4013, 2016
142016
Distributed random reshuffling over networks
K Huang, X Li, A Milzarek, S Pu, J Qiu
IEEE Transactions on Signal Processing, 2023
82023
An Online Mechanism for Resource Allocation in Networks
S Pu, JJ Escudero-Garzás, A Garcia, S Shahrampour
IEEE Transactions on Control of Network Systems 7 (3), 1140-1150, 2020
62020
Distributed Stochastic Optimization under a General Variance Condition
K Huang, X Li, S Pu
arXiv preprint arXiv:2301.12677, 2023
42023
Iterative mechanisms for electricity markets
S Pu, A Garcia
arXiv preprint arXiv:1608.08987, 2016
42016
A Linearly Convergent Robust Compressed Push-Pull Method for Decentralized Optimization
Y Liao, Z Li, S Pu
arXiv preprint arXiv:2303.07091, 2023
32023
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence
K Huang, S Pu
arXiv preprint arXiv:2301.05872, 2023
22023
Private and accurate Decentralized optimization via encrypted and structured functional perturbation
Y Zhou, S Pu
IEEE Control Systems Letters 7, 1339-1344, 2022
22022
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