Geodesic
Safe consensus control of cooperative-competitive multi-agent systems via differential privacy
Kybernetika, Tome 58 (2022) no. 3, pp. 426-439

Voir la notice de l'article provenant de la source Czech Digital Mathematics Library

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.
DOI : 10.14736/kyb-2022-3-0426
Classification : 93A14, 93C10
Keywords: differential privacy; safe consensus; cooperative-competitive multi-agent systems; Laplace distribution; $(p, r)$-accuracy 
@article{10_14736_kyb_2022_3_0426,
     author = {Ma, Jiayue and Hu, Jiangping},
     title = {Safe consensus control of cooperative-competitive multi-agent systems via differential privacy},
     journal = {Kybernetika},
     pages = {426--439},
     publisher = {mathdoc},
     volume = {58},
     number = {3},
     year = {2022},
     doi = {10.14736/kyb-2022-3-0426},
     mrnumber = {4494099},
     zbl = {07613053},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.14736/kyb-2022-3-0426/}
}
TY  - JOUR
AU  - Ma, Jiayue
AU  - Hu, Jiangping
TI  - Safe consensus control of cooperative-competitive multi-agent systems via differential privacy
JO  - Kybernetika
PY  - 2022
SP  - 426
EP  - 439
VL  - 58
IS  - 3
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/articles/10.14736/kyb-2022-3-0426/
DO  - 10.14736/kyb-2022-3-0426
LA  - en
ID  - 10_14736_kyb_2022_3_0426
ER  - 
%0 Journal Article
%A Ma, Jiayue
%A Hu, Jiangping
%T Safe consensus control of cooperative-competitive multi-agent systems via differential privacy
%J Kybernetika
%D 2022
%P 426-439
%V 58
%N 3
%I mathdoc
%U http://geodesic.mathdoc.fr/articles/10.14736/kyb-2022-3-0426/
%R 10.14736/kyb-2022-3-0426
%G en
%F 10_14736_kyb_2022_3_0426
Ma, Jiayue; Hu, Jiangping. Safe consensus control of cooperative-competitive multi-agent systems via differential privacy. Kybernetika, Tome 58 (2022) no. 3, pp. 426-439. doi: 10.14736/kyb-2022-3-0426

Cité par Sources :