Shi Pu

43 papers A* 1Journal 39Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Achieving Linear Speedup for Composite Federated Learning.
CoRR
Kun Huang, Shi Pu
2026 J jnl
An accelerated distributed stochastic gradient method with momentum.
Math. Program.
Kun Huang, Shi Pu, Angelia Nedic
2026 J jnl
Correction: An accelerated distributed stochastic gradient method with momentum.
Math. Program.
Kun Huang, Shi Pu, Angelia Nedic
2026 J jnl
Stochastic Push-Pull for Decentralized Nonconvex Optimization.
IEEE Trans. Signal Process.
Runze You, Shi Pu
2025 J jnl
CEDAS: A Compressed Decentralized Stochastic Gradient Method With Improved Convergence.
IEEE Trans. Autom. Control.
Kun Huang, Shi Pu
2025 J jnl
Distributed Learning over Arbitrary Topology: Linear Speed-Up with Polynomial Transient Time.
CoRR
Runze You, Shi Pu
2025 J jnl
Distributed Random Reshuffling Methods With Improved Convergence.
IEEE Trans. Autom. Control.
Kun Huang, Linli Zhou, Shi Pu
2025 J jnl
FedSUM Family: Efficient Federated Learning Methods under Arbitrary Client Participation.
CoRR
Runze You, Shi Pu
2024 J jnl
An Accelerated Distributed Stochastic Gradient Method with Momentum.
CoRR
Kun Huang, Shi Pu, Angelia Nedic
2024 A* conf
B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data.
NeurIPS
Runze You, Shi Pu
2024 J jnl
Distributed Stochastic Optimization Under a General Variance Condition.
IEEE Trans. Autom. Control.
Kun Huang, Xiao Li, Shi Pu
2024 J jnl
Optimal gradient tracking for decentralized optimization.
Math. Program.
Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2024 J jnl
Provably Accelerated Decentralized Gradient Methods Over Unbalanced Directed Graphs.
SIAM J. Optim.
Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2023 J jnl
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence.
CoRR
Kun Huang, Shi Pu
2023 J jnl
Distributed Random Reshuffling Over Networks.
IEEE Trans. Signal Process.
Kun Huang, Xiao Li, Andre Milzarek, Shi Pu, Junwen Qiu
2023 J jnl
Distributed Stochastic Optimization under a General Variance Condition.
CoRR
Kun Huang, Xiao Li, Shi Pu
2023 J jnl
Improving the Transient Times for Distributed Stochastic Gradient Methods.
IEEE Trans. Autom. Control.
Kun Huang, Shi Pu
2023 J jnl
Private and Accurate Decentralized Optimization via Encrypted and Structured Functional Perturbation.
IEEE Control. Syst. Lett.
Yijie Zhou, Shi Pu
2022 J jnl
A Compressed Gradient Tracking Method for Decentralized Optimization With Linear Convergence.
IEEE Trans. Autom. Control.
Yiwei Liao, Zhuorui Li, Kun Huang, Shi Pu
2022 J jnl
A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent.
IEEE Trans. Autom. Control.
Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis
2022 J jnl
Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks.
IEEE Trans. Signal Process.
Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2021 J jnl
Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks.
CoRR
Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2021 J jnl
Distributed Random Reshuffling over Networks.
CoRR
Kun Huang, Xiao Li, Andre Milzarek, Shi Pu, Junwen Qiu
2021 J jnl
Distributed stochastic gradient tracking methods.
Math. Program.
Shi Pu, Angelia Nedic
2021 J jnl
Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs.
CoRR
Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2021 J jnl
Push-Pull Gradient Methods for Distributed Optimization in Networks.
IEEE Trans. Autom. Control.
Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic
2020 J jnl
A General Framework for Decentralized Optimization With First-Order Methods.
Proc. IEEE
Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan
2020 — conf
A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks.
CDC
Shi Pu
2020 J jnl
A general framework for decentralized optimization with first-order methods.
CoRR
Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan
2020 J jnl
An Online Mechanism for Resource Allocation in Networks.
IEEE Trans. Control. Netw. Syst.
Shi Pu, José Joaquín Escudero Garzás, Alfredo García, Shahin Shahrampour
2020 J jnl
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent.
IEEE Signal Process. Mag.
Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis
2019 J jnl
A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent.
CoRR
Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu
2019 J jnl
Asymptotic Network Independence in Distributed Optimization for Machine Learning.
CoRR
Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu
2018 — conf
A Distributed Stochastic Gradient Tracking Method.
CDC
Shi Pu, Angelia Nedic
2018 J jnl
A Distributed Stochastic Gradient Tracking Method.
CoRR
Shi Pu, Angelia Nedic
2018 J jnl
A Flocking-Based Approach for Distributed Stochastic Optimization.
Oper. Res.
Shi Pu, Alfredo García
2018 — conf
A Push-Pull Gradient Method for Distributed Optimization in Networks.
CDC
Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic
2018 J jnl
A Push-Pull Gradient Method for Distributed Optimization in Networks.
CoRR
Shi Pu, Wei Shi, Jinming Xu, Angelia Nedich
2018 J jnl
Distributed Stochastic Gradient Tracking Methods.
CoRR
Shi Pu, Angelia Nedic
2018 J jnl
Erratum: Swarming for Faster Convergence in Stochastic Optimization.
SIAM J. Control. Optim.
Shi Pu, Alfredo García
2018 J jnl
Push-Pull Gradient Methods for Distributed Optimization in Networks.
CoRR
Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic
2018 J jnl
Swarming for Faster Convergence in Stochastic Optimization.
SIAM J. Control. Optim.
Shi Pu, Alfredo García
2016 J jnl
Noise Reduction by Swarming in Social Foraging.
IEEE Trans. Autom. Control.
Shi Pu, Alfredo García, Zongli Lin