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} }