FedHUR: Learning Hierarchical Utility-Guided Client Relations for Personalized Federated Recommendation
Federated recommendation enables collaborative model training while keeping user interaction data on local clients. A central problem in federated recommendation is how to aggregate useful information across clients for personalized recommendation. Existing personalized aggregation methods usually construct client rela...