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cs.LG2025
Towards Group Fairness with Multiple Sensitive Attributes in Federated Foundation Models
Yuning Yang, Han Yu, Tianrun Gao +2
The deep integration of foundation models (FM) with federated learning (FL) enhances personalization and scalability for diverse downstream tasks, making it crucial in sensitive do…
cs.LG2025
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections
Wei Zhuo, Zhaohuan Zhan, Han Yu
Federated Learning (FL) on graph-structured data typically faces non-IID challenges, particularly in scenarios where each client holds a distinct subgraph sampled from a global gra…