Survey of Recent Results in Privacy-Preserving Mechanisms for Multi-Agent Systems

被引:0
|
作者
Kossek, Magdalena [1 ]
Stefanovic, Margareta [1 ]
机构
[1] Univ Denver, Daniel Felix Ritchie Sch Engn & Comp Sci, 2155 E Wesley Ave, Denver, CO 80208 USA
关键词
Multi-agent systems; Privacy preserving control; Formation control; Signal obfuscation; Differential privacy; Encryption-based privacy; FOLLOWER FORMATION CONTROL; DYNAMIC AVERAGE CONSENSUS; MARINE SURFACE VEHICLES; AUTHENTICATION; ALGORITHM; FRAMEWORK; TRACKING; SCHEME; SECURE; TIME;
D O I
10.1007/s10846-024-02161-9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Privacy-preserving communication in cooperative control is essential for effective operations of various systems where sensitive information needs to be protected. This includes systems such as smart grids, traffic management systems, autonomous vehicle networks, healthcare systems, financial networks, and social networks. Recent privacy-preserving cooperative control literature is categorized and discussed in this paper. Advantages and disadvantages of differential privacy and encryption-based privacy-preserving protocols are described. The objective of this work is to examine and analyze existing research and knowledge related to the preservation of privacy in the context of cooperative control. This paper aims to identify and present a range of approaches, techniques, and methodologies that have been proposed or employed to address privacy concerns in multi-agent systems. It seeks to explore the current challenges, limitations, and gaps in the existing literature. It also aims to consolidate the findings from various studies to provide an overview of privacy-preserving cooperative control in multi-agent systems. The goal is to assist in the development of novel privacy-preserving mechanisms for cooperative control.
引用
收藏
页数:27
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