Shi Pu

According to our database, Shi Pu authored at least 26 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

CEDAS: A Compressed Decentralized Stochastic Gradient Method With Improved Convergence.

Kun Huang, Shi Pu

IEEE Trans. Autom. Control., April, 2025

2024

Distributed Stochastic Optimization Under a General Variance Condition.

Kun Huang, Xiao Li, Shi Pu

IEEE Trans. Autom. Control., September, 2024

Optimal gradient tracking for decentralized optimization.

Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan

Math. Program., September, 2024

Provably Accelerated Decentralized Gradient Methods Over Unbalanced Directed Graphs.

Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan

SIAM J. Optim., March, 2024

An Accelerated Distributed Stochastic Gradient Method with Momentum.

Kun Huang, Shi Pu, Angelia Nedic

CoRR, 2024

2023

Improving the Transient Times for Distributed Stochastic Gradient Methods.

Kun Huang, Shi Pu

IEEE Trans. Autom. Control., July, 2023

Distributed Random Reshuffling Over Networks.

Kun Huang, Xiao Li, Andre Milzarek, Shi Pu, Junwen Qiu

IEEE Trans. Signal Process., 2023

Private and Accurate Decentralized Optimization via Encrypted and Structured Functional Perturbation.

Yijie Zhou, Shi Pu

IEEE Control. Syst. Lett., 2023

2022

Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks.

Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan

IEEE Trans. Signal Process., 2022

A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent.

Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis

IEEE Trans. Autom. Control., 2022

A Compressed Gradient Tracking Method for Decentralized Optimization With Linear Convergence.

Yiwei Liao, Zhuorui Li, Kun Huang, Shi Pu

IEEE Trans. Autom. Control., 2022

2021

Push-Pull Gradient Methods for Distributed Optimization in Networks.

Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic

IEEE Trans. Autom. Control., 2021

Distributed stochastic gradient tracking methods.

Shi Pu, Angelia Nedic

Math. Program., 2021

Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs.

Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan

CoRR, 2021

2020

An Online Mechanism for Resource Allocation in Networks.

Shi Pu, José Joaquín Escudero Garzás, Alfredo García, Shahin Shahrampour

IEEE Trans. Control. Netw. Syst., 2020

Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent.

Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis

IEEE Signal Process. Mag., 2020

A General Framework for Decentralized Optimization With First-Order Methods.

Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan

Proc. IEEE, 2020

A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks.

Shi Pu

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Asymptotic Network Independence in Distributed Optimization for Machine Learning.

Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu

CoRR, 2019

A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent.

Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu

CoRR, 2019

2018

Erratum: Swarming for Faster Convergence in Stochastic Optimization.

Shi Pu, Alfredo García

SIAM J. Control. Optim., 2018

Swarming for Faster Convergence in Stochastic Optimization.

Shi Pu, Alfredo García

SIAM J. Control. Optim., 2018

A Flocking-Based Approach for Distributed Stochastic Optimization.

Shi Pu, Alfredo García

Oper. Res., 2018

A Push-Pull Gradient Method for Distributed Optimization in Networks.

Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Distributed Stochastic Gradient Tracking Method.

Shi Pu, Angelia Nedic

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2016

Noise Reduction by Swarming in Social Foraging.

Shi Pu, Alfredo García, Zongli Lin

IEEE Trans. Autom. Control., 2016