Contributions Estimation in Federated Learning: A Comprehensive Experimental Evaluation
Summary: Unified empirical evaluation of federated-learning contribution estimation methods across effectiveness (coalition-aware utility), robustness to attacks (replication, label-flip), and computational cost. Surveys prior methods, reveals trade-offs, and releases an adaptable testing framework to guide future design. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yiwei Chen
- 2. Kaiyu Li
- 3. Guoliang Li
- 4. Yong Wang
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,392 | Shapley Value Estimation Based on Differential Matrix | 2025 | SIGMOD | 4.1945683e-05 |
| 10,686 | PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 453 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.00022741848 |
| 1,298 | Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms | 2019 | VLDB | 0.00012758104 |
| 2,359 | Data Market Platforms: Trading Data Assets to Solve Data Problems | 2020 | VLDB | 8.9607667e-05 |
| 4,753 | Secure Shapley Value for Cross-Silo Federated Learning | 2023 | VLDB | 5.9469115e-05 |
| 6,263 | Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets | 2023 | VLDB | 5.1349507e-05 |
| 6,723 | On Shapley Value in Data Assemblage Under Independent Utility | 2022 | VLDB | 4.9490816e-05 |
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