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Distributed Privacy-preserving Algorithm via Matrix-weighted Coupling

An elegant feature of matrix-weighted networks can be employed for privacy-preserving consensus, optimization and game.

  1. Lulu Pan, Haibin Shao, Yang Lu, Mehran Mesbahi, Dewei Li, Yugeng Xi. Privacy-Preserving Average Consensus via Matrix-weighted Inter-Agent Coupling. Automatica, 174:112094, 2025. PDF

  2. Peng Wang, Haibin Shao, Lulu Pan, Weiwu Yan, Ning Li. Computationally Light Privacy Preservation of Matrix-Weighted Average Consensus. IEEE Transactions on Control of Network Systems, 2025. PDF

  3. Peng Wang, Yang Lu, Jianming Lian, Lulu Pan, Haibin Shao, Ning Li. Privacy-preserving Average Consensus with Beaver Triple and Communication Obfuscation IEEE Transactions on Automatic Control, 2025. PDF