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20222026
most citedPrivacy-Preserving Push-Pull Method for Decentralized Optimization via State Decomposition

16 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Optimal Decentralized Dynamic Energy Management over Asynchronous Peer-to-Peer Transactive Networks via Operator Splitting

Xi Zhang, Huqiang Cheng, Guo Chen +4

Peer-to-peer (P2P) energy management facilitates decentralized resource allocation among prosumers, improving local hosting capacity for renewables and minimizing energy expenditur…

math.OC2024

Decentralized Nonconvex Robust Optimization over Unsafe Multiagent Systems: System Modeling, Utility, Resilience, and Privacy Analysis

Jinhui Hu, Guo Chen, Huaqing Li +3

Privacy leakage and Byzantine failures are two adverse factors to the intelligent decision-making process of multi-agent systems (MASs). Considering the presence of these two issue…

eess.SY2023★ 16 cited

Privacy-Preserving Push-Pull Method for Decentralized Optimization via State Decomposition

Huqiang Cheng, Xiaofeng Liao, Huaqing Li +1

Distributed optimization is manifesting great potential in multiple fields, e.g., machine learning, control, and resource allocation. Existing decentralized optimization algorithms…

cs.MA2023★ 1 cited

Dynamics-Based Algorithm-Level Privacy Preservation for Push-Sum Average Consensus

Huqiang Cheng, Mengying Xie, Xiaowei Yang +2

In the intricate dance of multi-agent systems, achieving average consensus is not just vital--it is the backbone of their functionality. In conventional average consensus algorithm…

math.OC2022★ 14 cited

Distributed Online Private Learning of Convex Nondecomposable Objectives

Huqiang Cheng, Xiaofeng Liao, Huaqing Li

We deal with a general distributed constrained online learning problem with privacy over time-varying networks, where a class of nondecomposable objectives are considered. Under th…