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cs.LG2025
A Weighted Gradient Tracking Privacy-Preserving Method for Distributed Optimization
Furan Xie, Bing Liu, Li Chai
This paper investigates the privacy-preserving distributed optimization problem, aiming to protect agents' private information from potential attackers during the optimization proc…
cs.LG2025
ImprovDML: Improved Trade-off in Private Byzantine-Resilient Distributed Machine Learning
Bing Liu, Chengcheng Zhao, Li Chai +2
Jointly addressing Byzantine attacks and privacy leakage in distributed machine learning (DML) has become an important issue. A common strategy involves integrating Byzantine-resil…