Privacy-preserving Average Consensus Algorithm with Beaver Triple

Conference · Sat Nov 30 23:00:00 EST 2024

DOI:https://doi.org/10.1109/CDC56724.2024.10886276· OSTI ID:2573554

Wang, Peng ^[1]; Lu, Yang ^[2]; Lian, Jamie ^[3]; Pan, Lulu ^[1]; Shao, Haibin ^[1]; Li, Ning ^[1]

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1. Shanghai Jiao Tong University, China
2. Lancaster University, UK
3. ORNL

A privacy-preserving average consensus algorithm is designed based on the Beaver triple technique against passive adversaries. The Beaver triple technique is integrated into a restructure of the discrete-time average consensus algorithm to preserve the privacy of initial values of agents in a multiagent system. The performance of the algorithm is theoretically analyzed.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 2573554
• Country of Publication: United States
• Language: English