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VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning

Summary: VF2Boost: a very fast vertical federated GBDT system for cross-enterprise learning. It combats idle waiting with a concurrent training protocol and speeds cryptography via custom operations, achieving 12.8–18.9x speedups and enabling larger datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hb2d004d7d5a78438
Venue
SIGMOD
Year
2021
Pagerank
9.1945893e-05
Overall Rank
2,010 | 86.50%
DOI
10.1145/3448016.3457241

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{fu_sigmod21,
        title = {{VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning}},
        author = {Fu, Fangcheng and Shao, Yingxia and Yu, Lele and Jiang, Jiawei and Xue, Huanran and Tao, Yangyu and Cui, Bin},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3457241},
        url = {https://dl.acm.org/doi/10.1145/3448016.3457241},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Rank Citing Paper Year Venue Pagerank
3,312 BlindFL: Vertical Federated Machine Learning without Peeking into Your Data 2022 SIGMOD 7.4357331e-05
5,773 OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization 2023 VLDB 5.9960895e-05
6,344 FedTSC: A Secure Federated Learning System for Interpretable Time Series Classification 2022 VLDB 5.8064898e-05
6,494 Practical Differentially Private and Byzantine-resilient Federated Learning 2023 SIGMOD 5.7642287e-05
6,556 Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System 2023 VLDB 5.7472399e-05
8,086 Incentive-Aware Decentralized Data Collaboration 2023 SIGMOD 5.3917406e-05
8,205 Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent 2023 VLDB 5.3769281e-05
8,548 Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs 2024 VLDB 5.3167667e-05
9,661 FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data 2023 SIGMOD 5.142891e-05
10,349 Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates 2022 VLDB 5.0144155e-05
11,127 SecureXGB: A Secure and Efficient Multi-party Protocol for Vertical Federated XGBoost 2025 SIGMOD 4.9769913e-05
11,133 Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data 2025 SIGMOD 4.9769913e-05
11,330 Federated Incomplete Tabular Data Prediction with Missing Complementarity 2025 VLDB 4.9769913e-05
11,332 PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning 2025 VLDB 4.9769913e-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
83 Space-Efficient Online Computation of Quantile Summaries 2001 SIGMOD 0.00035962466
1,278 Privacy Preserving Vertical Federated Learning for Tree-based Models 2020 VLDB 0.00011232568
2,605 PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce 2009 VLDB 8.2273571e-05
2,799 Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries 2018 VLDB 7.9895512e-05
5,724 An Experimental Evaluation of Large Scale GBDT Systems 2019 VLDB 6.0150027e-05
9,853 DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions 2018 SIGMOD 5.1188938e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

# Overall Rank Paper Year Venue
1 11,332 PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning 2025 VLDB
2 6,556 Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System 2023 VLDB
3 10,349 Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates 2022 VLDB
4 7,529 DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning 2023 SIGMOD
5 6,473 Differentially Private Vertical Federated Clustering 2023 VLDB
6 5,724 An Experimental Evaluation of Large Scale GBDT Systems 2019 VLDB
7 3,312 BlindFL: Vertical Federated Machine Learning without Peeking into Your Data 2022 SIGMOD
8 11,127 SecureXGB: A Secure and Efficient Multi-party Protocol for Vertical Federated XGBoost 2025 SIGMOD
9 5,773 OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization 2023 VLDB
10 1,278 Privacy Preserving Vertical Federated Learning for Tree-based Models 2020 VLDB