Privacy-preserving Average Consensus Algorithm with Beaver Triple

Wang, Peng [Shanghai Jiao Tong University, China]; Lu, Yang [Lancaster University, UK]; Lian, Jamie [ORNL] (ORCID:0000000312705350); Pan, Lulu [Shanghai Jiao Tong University, China]; Shao, Haibin [Shanghai Jiao Tong University, China]; Li, Ning [Shanghai Jiao Tong University, China]

doi:10.1109/cdc56724.2024.10886276

DOE OSTI · 2573554

Privacy-preserving Average Consensus Algorithm with Beaver Triple

Wang, Peng [Shanghai Jiao Tong University, China]·Lu, Yang [Lancaster University, UK]·Lian, Jamie [ORNL] (ORCID:0000000312705350)·Pan, Lulu [Shanghai Jiao Tong University, China]·Shao, Haibin [Shanghai Jiao Tong University, China]·Li, Ning [Shanghai Jiao Tong University, China]

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Abstract

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.

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Wang, Peng [Shanghai Jiao Tong University, China], Lu, Yang [Lancaster University, UK], Lian, Jamie [ORNL] (ORCID:0000000312705350), Pan, Lulu [Shanghai Jiao Tong University, China], Shao, Haibin [Shanghai Jiao Tong University, China], Li, Ning [Shanghai Jiao Tong University, China]. 2024-12-01. Privacy-preserving Average Consensus Algorithm with Beaver Triple. https://doi.org/10.1109/cdc56724.2024.10886276

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