Practical Anonymous Two-Party Gradient Boosting Decision Tree

Huang, Chenyu; Zhang, Fan

doi:10.5281/zenodo.17373936

Published October 21, 2025 | Version v1

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Practical Anonymous Two-Party Gradient Boosting Decision Tree

1. Tencent (China)

Contributors

Researcher (7):

1. Hong Kong Polytechnic University
2. Chinese University of Hong Kong
3. Hong Kong University of Science and Technology (Guangzhou)
4. Tencent (China)

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Files (98.0 MB)

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AnonGBDT-code.tar.gz md5:b9ce082c8f33906c0d3c17fc32fd944d	98.0 MB	Download

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Programming language: C++ , Python

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DOI

Resource type

Software

Publisher

Zenodo

Conference

47th IEEE Symposium on Security and Privacy (S&P 2026) , SAN FRANCISCO, CA, USA, 18-21 MAY 2026

Languages

English

License: LICENSE

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Technical metadata

Created: October 18, 2025
Modified: October 21, 2025

Practical Anonymous Two-Party Gradient Boosting Decision Tree

Authors/Creators

Contributors

Researcher (7):

Files

Files (98.0 MB)

Additional details

Software