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P2 FedRec: Towards Privacy-Preserving and Personalized Federated Recommendation via Relationship Awareness

Summary: P2 FedRec: relationship-aware federated recommender that collaboratively builds user-relationship graphs and trains personalized local models. Provides multi-level privacy (data and edge) via embedding-shared local graphs and noisy global graph-guided aggregation, with theoretical guarantees and strong empirical gains. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7407
Venue
SIGMOD
Year
2026
Pagerank
4.1945683e-05
Overall Rank
10,097 | 29.76%
DOI
10.1145/3769811

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Rank Cited Paper Year Venue Pagerank
4,115 Federated Heavy Hitter Analytics with Local Differential Privacy 2025 SIGMOD 6.4381114e-05
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