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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
4452020
Distributed stochastic gradient tracking methods
S Pu, A Nedić
Mathematical Programming 187 (1), 409-457, 2021
3722021
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
1192020
A sharp estimate on the transient time of distributed stochastic gradient descent
S Pu, A Olshevsky, IC Paschalidis
IEEE Transactions on Automatic Control, 2021
78*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
68*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
532022
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
392020
Optimal gradient tracking for decentralized optimization
Z Song, L Shi, S Pu, M Yan
Mathematical Programming 207 (1), 1-53, 2024
332024
Compressed gradient tracking for decentralized optimization over general directed networks
Z Song, L Shi, S Pu, M Yan
IEEE Transactions on Signal Processing, 2022
282022
Improving the transient times for distributed stochastic gradient methods
K Huang, S Pu
IEEE Transactions on Automatic Control, 2022
252022
A flocking-based approach for distributed stochastic optimization
S Pu, A Garcia
Operations Research 66 (1), 267-281, 2018
232018
Swarming for faster convergence in stochastic optimization
S Pu, A Garcia
SIAM Journal on Control and Optimization 56 (4), 2997-3020, 2018
172018
Distributed random reshuffling over networks
K Huang, X Li, A Milzarek, S Pu, J Qiu
IEEE Transactions on Signal Processing, 2023
162023
Noise reduction by swarming in social foraging
S Pu, A Garcia, Z Lin
IEEE Transactions on Automatic Control 61 (12), 4007-4013, 2016
142016
A linearly convergent robust compressed push-pull method for decentralized optimization
Y Liao, Z Li, S Pu
2023 62nd IEEE Conference on Decision and Control (CDC), 4156-4161, 2023
82023
CEDAS: A compressed decentralized stochastic gradient method with improved convergence
K Huang, S Pu
IEEE Transactions on Automatic Control, 2024
72024
Distributed stochastic optimization under a general variance condition
K Huang, X Li, S Pu
IEEE Transactions on Automatic Control, 2024
72024
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
72020
An Accelerated Distributed Stochastic Gradient Method with Momentum
K Huang, S Pu, A Nedić
arXiv preprint arXiv:2402.09714, 2024
62024
Private and accurate Decentralized optimization via encrypted and structured functional perturbation
Y Zhou, S Pu
IEEE Control Systems Letters 7, 1339-1344, 2022
52022
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