Preprint
Sep 2026
FedHUR: Learning Hierarchical Utility-Guided Client Relations for Personalized Federated Recommendation
FedHUR is a federated recommendation framework for learning hierarchical utility-guided client relations that consistently outperforms existing federated recommendation baselines, demonstrating the effectiveness of hierarchical utility-guided client relation learning.
Ming-Zhe Han, Jia-Hao Liu, Dong-Sheng Li et al.
· 0 citations