Privacy-Preserving Average Consensus With Beaver Triple and Communication Obfuscation

Wang, Peng; Lu, Yang; Lian, Jianming; Pan, Lulu; Shao, Haibin; Li, Ning

doi:10.1109/TAC.2025.3539731

Privacy-Preserving Average Consensus With Beaver Triple and Communication Obfuscation

Journal Article · Wed Feb 05 23:00:00 EST 2025 · IEEE Transactions on Automatic Control

DOI:https://doi.org/10.1109/TAC.2025.3539731· OSTI ID:2587501

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Shanghai Jiao Tong Univ. (China)
Lancaster Univ., Bailrigg (United Kingdom)
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

A privacy-preserving average consensus algorithm is proposed that synergizes the Beaver triple in secret sharing theory and noise obfuscation. The algorithm safeguards the initial values of agents against passive adversaries in a multiagent system. It is proved that the proposed algorithm can concurrently ensure average consensus and privacy, while also reducing the online computation and communication overhead compared to encryption-based ones. In addition, it imposes a less stringent condition for privacy preservation compared to certain noise-obfuscation techniques.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 2587501

Journal Information:: IEEE Transactions on Automatic Control, Journal Name: IEEE Transactions on Automatic Control Journal Issue: 7 Vol. 70; ISSN 0018-9286; ISSN 2334-3303; ISSN 1558-2523

Publisher:: Institute of Electrical and Electronics Engineers (IEEE)Copyright Statement

Country of Publication:: United States

Language:: English

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