
CLC number: TP391.4
On-line Access: 2026-01-08
Received: 2025-02-14
Revision Accepted: 2025-07-31
Crosschecked: 2026-01-08
Cited: 0
Clicked: 888
Licheng WANG, Yongling CHEN, Shuai LIU. Privacy-preserving bipartite consensus with cooperative–competitive interactions via a node decomposition strategy[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(11): 2114-2127.
@article{title="Privacy-preserving bipartite consensus with cooperative–competitive interactions via a node decomposition strategy",
author="Licheng WANG, Yongling CHEN, Shuai LIU",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="26",
number="11",
pages="2114-2127",
year="2025",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2500093"
}
%0 Journal Article
%T Privacy-preserving bipartite consensus with cooperative–competitive interactions via a node decomposition strategy
%A Licheng WANG
%A Yongling CHEN
%A Shuai LIU
%J Frontiers of Information Technology & Electronic Engineering
%V 26
%N 11
%P 2114-2127
%@ 2095-9184
%D 2025
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2500093
TY - JOUR
T1 - Privacy-preserving bipartite consensus with cooperative–competitive interactions via a node decomposition strategy
A1 - Licheng WANG
A1 - Yongling CHEN
A1 - Shuai LIU
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 26
IS - 11
SP - 2114
EP - 2127
%@ 2095-9184
Y1 - 2025
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2500093
Abstract: This paper describes our investigation of the privacy protection problem of multi-agent systems under cooperative–;competitive networks. A node decomposition strategy is used to protect the privacy of the initial node values, in which a node vi is split into ni nodes. By designing inter-node weights, the initial value of each node is protected from honest-but-curious nodes and eavesdroppers without relying on external algorithms. The purpose is to design a privacy-preserving consensus algorithm such that the privacy performance is guaranteed by using the node decomposition strategy, while the bipartite consensus is achieved for the cooperative–;competitive multi-agent systems. Two numerical simulations are given to validate the effectiveness of the proposed privacy-preserving bipartite consensus algorithm.
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