- By:
- Wang, Peng; Lu, Yang; Lian, Jianming ; Pan, Lulu; Shao, Haibin; Li, Ning
- Journal Name:
- IEEE Transactions on Automatic Control
- Page Number:
- 4801-4808
- Volume:
- 70
- Issue Number:
- 7
- Publication Date:
- September 5, 2025
- View DOI Listing:
- https://doi.org/10.1109/TAC.2025.3539731
Abstract
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.
