Noise Reduction by Swarming in Social Foraging. - Shi Pu 004; Alfredo García 001; Zongli Lin (IEEE Trans. Autom. Control., 2016)

A Distributed Stochastic Gradient Tracking Method. - Shi Pu 004; Angelia Nedic (CDC, 2018)

A Push-Pull Gradient Method for Distributed Optimization in Networks. - Shi Pu 004; Wei Shi 010; Jinming Xu 002; Angelia Nedic (CDC, 2018)

A Flocking-Based Approach for Distributed Stochastic Optimization. - Shi Pu 004; Alfredo García 001 (Oper. Res., 2018)

Swarming for Faster Convergence in Stochastic Optimization. - Shi Pu 004; Alfredo García 001 (SIAM J. Control. Optim., 2018)

Erratum: Swarming for Faster Convergence in Stochastic Optimization. - Shi Pu 004; Alfredo García 001 (SIAM J. Control. Optim., 2018)

A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent. - Alex Olshevsky; Ioannis Ch. Paschalidis; Shi Pu 004 (CoRR, 2019)

Asymptotic Network Independence in Distributed Optimization for Machine Learning. - Alex Olshevsky; Ioannis Ch. Paschalidis; Shi Pu 004 (CoRR, 2019)

A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks. - Shi Pu 004 (CDC, 2020)

A General Framework for Decentralized Optimization With First-Order Methods. - Ran Xin; Shi Pu 004; Angelia Nedic; Usman A. Khan (Proc. IEEE, 2020)

Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent. - Shi Pu 004; Alex Olshevsky; Ioannis Ch. Paschalidis (IEEE Signal Process. Mag., 2020)

An Online Mechanism for Resource Allocation in Networks. - Shi Pu 004; José Joaquín Escudero Garzás; Alfredo García 001; Shahin Shahrampour (IEEE Trans. Control. Netw. Syst., 2020)

Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs. - Zhuoqing Song; Lei Shi 010; Shi Pu 004; Ming Yan 006 (CoRR, 2021)

Distributed stochastic gradient tracking methods. - Shi Pu 004; Angelia Nedic (Math. Program., 2021)

Push-Pull Gradient Methods for Distributed Optimization in Networks. - Shi Pu 004; Wei Shi 010; Jinming Xu 002; Angelia Nedic (IEEE Trans. Autom. Control., 2021)

A Compressed Gradient Tracking Method for Decentralized Optimization With Linear Convergence. - Yiwei Liao; Zhuorui Li; Kun Huang; Shi Pu 004 (IEEE Trans. Autom. Control., 2022)

A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent. - Shi Pu 004; Alex Olshevsky; Ioannis Ch. Paschalidis (IEEE Trans. Autom. Control., 2022)

Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks. - Zhuoqing Song; Lei Shi 010; Shi Pu 004; Ming Yan 006 (IEEE Trans. Signal Process., 2022)

Private and Accurate Decentralized Optimization via Encrypted and Structured Functional Perturbation. - Yijie Zhou; Shi Pu 004 (IEEE Control. Syst. Lett., 2023)

Distributed Random Reshuffling Over Networks. - Kun Huang; Xiao Li 009; Andre Milzarek; Shi Pu 004; Junwen Qiu (IEEE Trans. Signal Process., 2023)

Improving the Transient Times for Distributed Stochastic Gradient Methods. - Kun Huang; Shi Pu 004 (IEEE Trans. Autom. Control., 2023)

An Accelerated Distributed Stochastic Gradient Method with Momentum. - Kun Huang; Shi Pu 004; Angelia Nedic (CoRR, 2024)

Provably Accelerated Decentralized Gradient Methods Over Unbalanced Directed Graphs. - Zhuoqing Song; Lei Shi 010; Shi Pu 004; Ming Yan 006 (SIAM J. Optim., 2024)

Optimal gradient tracking for decentralized optimization. - Zhuoqing Song; Lei Shi 010; Shi Pu 004; Ming Yan 006 (Math. Program., 2024)

Distributed Stochastic Optimization Under a General Variance Condition. - Kun Huang; Xiao Li 009; Shi Pu 004 (IEEE Trans. Autom. Control., 2024)

CEDAS: A Compressed Decentralized Stochastic Gradient Method With Improved Convergence. - Kun Huang; Shi Pu 004 (IEEE Trans. Autom. Control., 2025)

Distributed Random Reshuffling Methods With Improved Convergence. - Kun Huang; Linli Zhou; Shi Pu 004 (IEEE Trans. Autom. Control., 2025)