Privacy-Preserving Average Consensus for Multi-Agent System with Event-Triggered Method

The paper considers the privacy-preserving and communication constraints for multi-agent systems. Firstly, a lightweight, decentralized, time-varying transformation method is introduced to prevent information leakage during information exchange between agents. This approach requires less computation and is compatible with systems with limited computing resources. Secondly, the paper proposes an event-triggered mechanism that considers both privacy-preserving and communication constraints to avoid continuous updates of the privacy-preserving controller. By using intermittent communication mode, this approach effectively reduces computing and communication resources compared to traditional time-triggered methods. Overall, these methods offer efficient solutions for privacy and communication challenges in multi-agent systems. The finite-time privacy-preserving control protocol is validated through numerical simulation examples to demonstrate its effectiveness.