自动化学报2025，Vol.51Issue(6)：1359-1370,12.DOI:10.16383/j.aas.c240471
基于全过程隐私保护的多智能体系统平均一致性
Average Consensus in Multi-agent Systems Based on Whole-process Privacy Protection
摘要
Abstract
This paper investigates the average consensus problem with whole-process privacy protection for multi-agent systems facing potential collaborative eavesdropping from multiple neighbors.The research focuses on protect-ing both the initial states of agents and their real-time states throughout the entire process of achieving average consensus.Different from existing privacy-preserving average consensus algorithms that only safeguard initial states and cannot resist collaborative eavesdropping,a novel whole-process privacy-preserving average consensus al-gorithm based on virtual subnetworks and non-vanishing perturbations is proposed.Under the proposed algorithm,even if all communication channels of agents are eavesdropped,the average consensus of the multi-agent system can still be achieved while ensuring whole-process protection of agent states.Finally,several numerical simulation exper-iments verify the effectiveness of the algorithm.关键词
多智能体系统/平均一致性/隐私保护/全过程隐私/联合窃听Key words
Multi-agent systems/average consensus/privacy protection/whole-process privacy/collaborative eaves-dropping引用本文复制引用
纪良浩,唐少洪,郭兴,解燕..基于全过程隐私保护的多智能体系统平均一致性[J].自动化学报,2025,51(6):1359-1370,12.基金项目
国家自然科学基金(62276036),重庆市自然科学基金创新发展联合基金重点项目(CSTB2024NSCQ-LZX0118),重庆市教委科技重大项目(KJZD-M202100602),重庆市教委科学技术研究项目(KJQN202400627)资助Supported by National Natural Science Foundation of China(62276036),Innovation and Development Joint Fund Project of Chongqing Natural Science Foundation(CSTB2024NSCQ-LZX0118),Major Project of Scientific and Technological Re-search Program of Chongqing Municipal Education Commission(KJZD-M202100602),and Science and Technology Research Project of the Chongqing Education Commission(KJQN202400627) （62276036）
