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Haibin Shao

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Matrix-weighted Networks and Privacy-preserving Consensus

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

  1. Lulu Pan, Haibin Shao, Yang Lu, Mehran Mesbahi, Dewei Li, Yugeng Xi. Privacy-Preserving Average Consensus via Matrix-weighted Inter-Agent Coupling. Automatica, 2024. To appear

  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, 2023.

  3. Lulu Pan, Yang Lu, Haibin Shao, Dewei Li, Yugeng Xi. Secure and Privacy-Preserving Average Consensus for Matrix-weighted Networks, 2022. (working paper)