eFL-Boost: Efficient Federated Learning for Gradient Boosting Decision Trees

eFL-Boost: Efficient Federated Learning for Gradient Boosting Decision Trees

Privacy protection has attracted increasing attention, and privacy concerns often prevent flexible data utilization. In most industries, data are distributed across multiple organizations due to privacy concerns. Federated learning (FL), which enables cross-organizational machine learning by communi...

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Bibliographic Details
Main Authors: Fuki Yamamoto, Seiichi Ozawa, Lihua Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Machine learning
privacy-preserving
gradient boosting
federated learning
decision tree
Online Access:https://ieeexplore.ieee.org/document/9761890/

Internet

https://ieeexplore.ieee.org/document/9761890/

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