Safe consensus control of cooperative-competitive multi-agent systems via differential privacy

Title:

Safe consensus control of cooperative-competitive multi-agent systems via differential privacy

Creator:

Ma, Jiayue and Hu, Jiangping

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:80d90ab0-03d4-4134-ae36-37608aa0c561
uuid:80d90ab0-03d4-4134-ae36-37608aa0c561
doi:10.14736/kyb-2022-3-0426

Subject:

differential privacy, safe consensus, cooperative-competitive multi-agent systems, Laplace distribution, and (p,r)-accuracy

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

This paper investigates a safe consensus problem for cooperative-competitive multi-agent systems using a differential privacy (DP) approach. Considering that the agents simultaneously interact cooperatively and competitively, we propose a novel DP bipartite consensus algorithm, which guarantees that the DP strategy only works on competitive pairs of agents. We then prove that the proposed algorithm can achieve the mean square bipartite consensus and (p,r)-accuracy. Furthermore, a differential privacy analysis is conducted, which shows that the performance of privacy protection is positively correlated with the number of neighbors. Thus, a practical method is established for the agents to select their own privacy levels. Finally, the simulation results are presented to demonstrate the validity of the proposed safe consensus algorithm.

Language:

English

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

426-439

Source:

Kybernetika | 2022 Volume:58 | Number:3

Harvested from:

CDK

Metadata only:

false