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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Библиографические подробности
Главные авторы: Fuki Yamamoto, Seiichi Ozawa, Lihua Wang
Формат: Artigo
Язык:Inglês
Опубликовано: IEEE 2022-01-01
Серии:IEEE Access
Предметы:
Machine learning
privacy-preserving
gradient boosting
federated learning
decision tree
Online-ссылка:https://ieeexplore.ieee.org/document/9761890/
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