We are excited to announce that Feng Ye and his team’s paper, “Privacy-Preserving Average Consensus: Fundamental Analysis and a Generic Framework Design,” has been accepted by the prestigious IEEE Transactions on Information Theory.
The paper addresses privacy-preserving mechanisms in average consensus, a critical topic in distributed systems, machine learning, and blockchain. The proposed framework combines rigorous theoretical insights with practical applicability, ensuring system efficiency and privacy protection.
Congratulations to Feng Ye and his collaborators on this outstanding achievement!
Paper Information:
Ye, Feng, et al. “Privacy-Preserving Average Consensus: Fundamental Analysis and a Generic Framework Design.” IEEE Transactions on Information Theory (2024).