Jie Xu
2 papers · Latest:
Cryptography & Security
DisAgg: Distributed Aggregators for Efficient Secure Aggregation in Federated Learning
DisAgg uses distributed client aggregators to securely and efficiently aggregate updates in federated learning, achieving a 4.6x speedup over OPA.
2605.13708
Machine LearningDifferentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation
PINA is a two-stage framework for Differentially Private Clustered Federated Learning, improving accuracy and privacy with robust initialization and aggregation.
2604.20596
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