| 引用本文: | 黄明德,伍益明,蒋杰.多智能体系统一致性问题中的隐私保护方法综述[J].控制理论与应用,2026,43(4):697~708.[点击复制] |
| HUANG Ming-de,WU Yi-ming,JIANG Jie.A survey of privacy-preserving consensus problems in multi-agent systems[J].Control Theory & Applications,2026,43(4):697~708.[点击复制] |
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| 多智能体系统一致性问题中的隐私保护方法综述 |
| A survey of privacy-preserving consensus problems in multi-agent systems |
| 摘要点击 237 全文点击 49 投稿时间：2024-07-08 修订日期：2025-06-22 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2025.40362 |
| 2026,43(4):697-708 |
| 中文关键词 多智能体系统 协调控制 一致性问题 隐私保护 |
| 英文关键词 multi-agent systems coordinated control consensus privacy-preserving |
| 基金项目 浙江省公益技术应用研究项目(LGF21F020011), 浙江省教育厅科研项目(Y202352122)资助. |
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| 中文摘要 |
| 多智能体系统(MAS)一致性算法执行中需要个体之间频繁交换并共享信息, 这对网络中智能体个体信息
的隐私安全带来了巨大的风险. 本文阐述了MAS一致性问题中的隐私保护概念定义, 给出了相应的问题描述, 较系
统地回顾了 MAS 隐私保护一致性技术的现有进展. 从方法的归类上将现有技术分为3类: 即基于噪声注入的方法、
基于密码学的方法和基于状态增强的方法, 讨论了针对不同领域实际应用中的设计策略, 分析了现有技术的发展趋
势, 探讨了隐私保护设计中亟待解决的问题与未来的发展方向. |
| 英文摘要 |
| In the execution of consensus algorithms in multi-agent systems (MAS), frequent information exchange and
sharing among individuals are required, which poses significant risks to the privacy and security of individual information
in the network. This paper introduces the concept definition of privacy-preserving in MAS consensus problems, provides
corresponding problem descriptions, comprehensively reviews the existing works of privacy protection technologies for
MAS consensus in a systematic manner. Based on the classification of methods, the existing technologies are divided
into three categories: methods based on noise injection, methods based on cryptography, and methods based on state
decomposition. Design strategies for practical applications in different domains are discussed, and the development trends
of existing technologies are analyzed. The unresolved issues in privacy-preserving design and future directions are also
explored. |
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