OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization
Summary: OpBoost enables privacy-preserving tree boosting in vertical federated learning via order-preserving desensitization under distance-based LDP. Optimized dLDP and sampling trade privacy for utility, improving accuracy and efficiency over cryptographic and conventional LDP approaches. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiaochen Li (Zhejiang University)
- 2. Yuke Hu (Zhejiang University)
- 3. Weiran Liu (Alibaba)
- 4. Hanwen Feng (Alibaba)
- 5. Li Peng (Alibaba)
- 6. Yuan Hong (University of Connecticut)
- 7. Kui Ren (Zhejiang University)
- 8. Zhan Qin (Zhejiang University)
BibTeX Citation
@article{li_vldb23,
title = {{OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization}},
author = {Li, Xiaochen and Hu, Yuke and Liu, Weiran and Feng, Hanwen and Peng, Li and Hong, Yuan and Ren, Kui and Qin, Zhan},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {2},
pages = {202--215},
doi = {10.14778/3565816.3565823},
url = {https://doi.org/10.14778/3565816.3565823},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,249 | Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store | 2025 | SIGMOD | 5.4574671e-05 |
| 10,678 | SecureXGB: A Secure and Efficient Multi-party Protocol for Vertical Federated XGBoost | 2025 | SIGMOD | 5.093636e-05 |
| 10,932 | Federated Incomplete Tabular Data Prediction with Missing Complementarity | 2025 | VLDB | 5.093636e-05 |
| 10,934 | PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 310 | Order Preserving Encryption for Numeric Data | 2004 | SIGMOD | 0.00021766789 |
| 1,249 | Privacy Preserving Vertical Federated Learning for Tree-based Models | 2020 | VLDB | 0.00011495357 |
| 1,674 | The Tao of Inference in Privacy-Protected Databases | 2018 | VLDB | 0.00010037562 |
| 1,959 | VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning | 2021 | SIGMOD | 9.4090198e-05 |
| 2,562 | Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies | 2014 | SIGMOD | 8.4127196e-05 |
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