An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization.
Lunchen Xie|Jiaqi Liu|Songtao Lu|Tsung-Hui Chang|Qingjiang Shi
| Anthology ID: | DBLP:journals/tist/XieLLCS22 |
|---|---|
| Year: | 2022 |
| Venue: | ACM Transactions on Intelligent Systems and Technology (TIST) |
| Pages: | 77:1-77:28 |
| URL: | https://doi.org/10.1145/3523061 |
| DOI: | https://doi.org/10.1145/3523061 |
| DBLP: | journals/tist/XieLLCS22 |
| BibTeX: |
@article{xie-2022-efficient,
author = {Lunchen Xie and
Jiaqi Liu and
Songtao Lu and
Tsung-Hui Chang and
Qingjiang Shi},
title = {{An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization}},
journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
volume = {13},
number = {5},
pages = {77:1--77:28},
year = {2022},
url = {https://doi.org/10.1145/3523061},
doi = {https://doi.org/10.1145/3523061}
}