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On-line Access: 2025-10-13

Received: 2025-02-14

Revision Accepted: 2025-07-31

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Frontiers of Information Technology & Electronic Engineering 

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Privacy-preserving bipartite consensus with cooperative-competitive interactions via node decomposition strategy


Author(s):  Licheng WANG1, Yongling CHEN1, Shuai LIU2

Affiliation(s):  1College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China 2College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China

Corresponding email(s):  wanglicheng1217@163.com, chenyongling2024@163.com, liushuai871030@163.com

Key Words:  Privacy-preserving; Bipartite consensus; Cooperative-competitive interactions; Multi-agent systems; Node decomposition


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Licheng WANG1, Yongling CHEN1, Shuai LIU2. Privacy-preserving bipartite consensus with cooperative-competitive interactions via node decomposition strategy[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2500093

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Abstract: 
This paper describes our investigation of the privacy protection problem of multi-agent systems under cooperative-competitive networks. The node decomposition strategy is used to protect the privacy of initial node values, in which a node vi is split into ni nodes, where ni represents the number of its neighbors. 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 of the addressing this problem 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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