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Jian-Kui Zhou

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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

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