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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
6194
Venue
SIGMOD
Year
2021
Pagerank
9.4090198e-05
Overall Rank
1,959 | 86.57%
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
3,237 BlindFL: Vertical Federated Machine Learning without Peeking into Your Data 2022 SIGMOD 7.6089416e-05
5,645 OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization 2023 VLDB 6.1366186e-05
6,212 FedTSC: A Secure Federated Learning System for Interpretable Time Series Classification 2022 VLDB 5.9425753e-05
6,366 Practical Differentially Private and Byzantine-resilient Federated Learning 2023 SIGMOD 5.8983442e-05
6,421 Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System 2023 VLDB 5.8819368e-05
7,911 Incentive-Aware Decentralized Data Collaboration 2023 SIGMOD 5.5181056e-05
8,034 Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent 2023 VLDB 5.502946e-05
8,456 Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs 2024 VLDB 5.4217837e-05
9,473 FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data 2023 SIGMOD 5.2634238e-05
10,114 Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates 2022 VLDB 5.1319012e-05
10,678 SecureXGB: A Secure and Efficient Multi-party Protocol for Vertical Federated XGBoost 2025 SIGMOD 5.093636e-05
10,684 Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data 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 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
82 Space-Efficient Online Computation of Quantile Summaries 2001 SIGMOD 0.00036378991
1,249 Privacy Preserving Vertical Federated Learning for Tree-based Models 2020 VLDB 0.00011495357
2,560 PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce 2009 VLDB 8.4143663e-05
2,747 Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries 2018 VLDB 8.1711208e-05
5,589 An Experimental Evaluation of Large Scale GBDT Systems 2019 VLDB 6.1559057e-05
9,672 DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions 2018 SIGMOD 5.2386185e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

# Overall Rank Paper Year Venue
1 10,934 PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning 2025 VLDB
2 6,421 Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System 2023 VLDB
3 10,114 Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates 2022 VLDB
4 7,381 DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning 2023 SIGMOD
5 6,353 Differentially Private Vertical Federated Clustering 2023 VLDB
6 5,589 An Experimental Evaluation of Large Scale GBDT Systems 2019 VLDB
7 3,237 BlindFL: Vertical Federated Machine Learning without Peeking into Your Data 2022 SIGMOD
8 10,678 SecureXGB: A Secure and Efficient Multi-party Protocol for Vertical Federated XGBoost 2025 SIGMOD
9 5,645 OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization 2023 VLDB
10 1,249 Privacy Preserving Vertical Federated Learning for Tree-based Models 2020 VLDB