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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Detalhes bibliográficos
Main Authors: Fuki Yamamoto, Seiichi Ozawa, Lihua Wang
Formato: Artigo
Idioma:Inglês
Publicado em: IEEE 2022-01-01
Colecção:IEEE Access
Assuntos:
Machine learning
privacy-preserving
gradient boosting
federated learning
decision tree
Acesso em linha:https://ieeexplore.ieee.org/document/9761890/
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