Incentive-Aware Decentralized Data Collaboration
Summary: IDEA enables incentive-aware decentralized federated learning for data collaboration without a server, using a customizable reward scheme and a MARL incentive mechanism. It proves a Nash equilibrium and shows gains over four baselines on five real-world datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yatong Wang
- 2. Yuncheng Wu
- 3. Xincheng Chen
- 4. Gang Feng
- 5. Beng Chin Ooi
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,459 | Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs | 2024 | VLDB | 4.5065275e-05 |
| 11,003 | Performance-Based Pricing for Federated Learning via Auction | 2024 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,143 | Privacy Preserving Vertical Federated Learning for Tree-based Models | 2020 | VLDB | 0.00013710269 |
| 1,895 | VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning | 2021 | SIGMOD | 0.00010180896 |
| 3,506 | BlindFL: Vertical Federated Machine Learning without Peeking into Your Data | 2022 | SIGMOD | 7.0291192e-05 |
| 5,222 | Enabling SQL-based Training Data Debugging for Federated Learning | 2022 | VLDB | 5.6210545e-05 |
| 5,669 | Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy | 2022 | VLDB | 5.380575e-05 |
| 6,521 | Refiner: A Reliable Incentive-Driven Federated Learning System Powered by Blockchain | 2021 | VLDB | 5.0303762e-05 |
| 13,218 | DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics | 2022 | VLDB | - |
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