FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Summary: FederatedScope: event-driven FL platform to declaratively describe heterogeneous participant behaviors—local training, objectives, backends—and orchestrate synchronous or asynchronous training. Extensible plugin ecosystem (privacy, attack simulation, auto-tuning) and open-source release for research and industrial use. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuexiang Xie
- 2. Zhen Wang
- 3. Dawei Gao
- 4. Daoyuan Chen
- 5. Liuyi Yao
- 6. Weirui Kuang
- 7. Yaliang Li
- 8. Bolin Ding
- 9. Jingren Zhou
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,937 | FS-REAL: A Real-World Cross-Device Federated Learning Platform | 2023 | VLDB | 4.613363e-05 |
| 8,459 | Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs | 2024 | VLDB | 4.5065275e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 878 | Differentially Private Data Cubes: Optimizing Noise Sources and Consistency | 2011 | SIGMOD | 0.00015702437 |
| 2,555 | Answering Multi-Dimensional Analytical Queries under Local Differential Privacy | 2019 | SIGMOD | 8.5477878e-05 |
| 5,775 | Federated Matrix Factorization with Privacy Guarantee | 2022 | VLDB | 5.3310992e-05 |
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