2 papers
cs.DC2025
Federated k-Core Decomposition: A Secure Distributed Approach
Bin Guo, Emil Sekerinski, Lingyang Chu
As one of the most well-studied cohesive subgraph models, the -core is widely used to find graph nodes that are ``central'' or ``important'' in many applications, such as biolog…
cs.LG2024
Training Fair Models in Federated Learning without Data Privacy Infringement
Xin Che, Jingdi Hu, Zirui Zhou +2
Training fair machine learning models becomes more and more important. As many powerful models are trained by collaboration among multiple parties, each holding some sensitive data…