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)
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Authors
- 1. Chenfei Hu
- 2. Zihao Xu
- 3. Tong Wu
- 4. You Li
- 5. Chuan Zhang
- 6. Liehuang Zhu
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| 4,116 | Federated Heavy Hitter Analytics with Local Differential Privacy | 2025 | SIGMOD | 6.4319226e-05 |
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