2026
Beyond Single Embedding: Modeling User Preferences as Distribution in Federated Recommendation
ICML 2026poster
Most federated recommender systems represent each user with a single embedding learned from local interaction data, implicitly assuming that user preferences are fixed and precisely identifiable. In federated settings, however, each client observes only a limited and fragmentary view of user behavio…