Privacy-preserved average consensus algorithms with edge-based additive perturbations

DOI10.1016/J.AUTOMATICA.2022.110223zbMath1485.93542arXiv2109.02192OpenAlexW3198620772MaRDI QIDQ2125510

Yi Xiong, Zhongkui Li

Publication date: 14 April 2022

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2109.02192

zbMATH Keywords

multi-agent systemsaverage consensusprivacy preservationedge-based perturbation signals

Mathematics Subject Classification ID

Perturbations in control/observation systems (93C73) Multi-agent systems (93A16) Consensus (93D50)

Related Items (1)

Fully distributed prescribed-time consensus control of multiagent systems under fixed and switching topologies

Cites Work

• A system-theoretic framework for privacy preservation in continuous-time multiagent dynamics
• Differentially private average consensus: obstructions, trade-offs, and optimal algorithm design
• Fast linear iterations for distributed averaging
• Privacy Preserving Average Consensus
• The Algorithmic Foundations of Differential Privacy
• Dynamic average consensus under limited control authority and privacy requirements
• Consensus and Cooperation in Networked Multi-Agent Systems
• Preserving Data-Privacy With Added Noises: Optimal Estimation and Privacy Analysis
• Consensus of Multiagent Systems and Synchronization of Complex Networks: A Unified Viewpoint
• Privacy-Preserving Distributed Averaging via Homomorphically Encrypted Ratio Consensus
• Secure and Privacy-Preserving Consensus
• Privacy-Preserving Average Consensus via State Decomposition

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