most citedFederated Recommender System with Data Valuation for E-commerce Platform

4 citations · 4 across the 3 of their papers we have counts for

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cs.IR2026

Low-pass Personalized Subgraph Federated Recommendation

Wooseok Sim, Hogun Park

Federated Recommender Systems (FRS) preserve privacy by training decentralized models on client-specific user-item subgraphs without sharing raw data. However, FRS faces a unique c…