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

Jiayue Ma; Jiangping Hu

Kybernetika (2022)

  • Volume: 58, Issue: 3, page 426-439
  • ISSN: 0023-5954

Abstract

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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.

How to cite

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Ma, Jiayue, and Hu, Jiangping. "Safe consensus control of cooperative-competitive multi-agent systems via differential privacy." Kybernetika 58.3 (2022): 426-439. <http://eudml.org/doc/298916>.

@article{Ma2022,
abstract = {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.},
author = {Ma, Jiayue, Hu, Jiangping},
journal = {Kybernetika},
keywords = {differential privacy; safe consensus; cooperative-competitive multi-agent systems; Laplace distribution; $(p, r)$-accuracy},
language = {eng},
number = {3},
pages = {426-439},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Safe consensus control of cooperative-competitive multi-agent systems via differential privacy},
url = {http://eudml.org/doc/298916},
volume = {58},
year = {2022},
}

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
PB - Institute of Information Theory and Automation AS CR
VL - 58
IS - 3
SP - 426
EP - 439
AB - 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.
LA - eng
KW - differential privacy; safe consensus; cooperative-competitive multi-agent systems; Laplace distribution; $(p, r)$-accuracy
UR - http://eudml.org/doc/298916
ER -

References

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