Personalized Federated Contrastive Learning for Recommendation
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DOI: 10.1109/tcss.2024.3524587
Abstract: Recommender systems play crucial roles in addressing the issue of information overload, but traditional centralized storage in recommendation poses significant privacy concerns. In recent years, federated learning has been successfully introduced into a recommendation, while… read more here.
Keywords: learning recommendation; federated contrastive; contrastive learning; recommendation ... See more keywords