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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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Autors principals: Fuki Yamamoto, Seiichi Ozawa, Lihua Wang
Format: Artigo
Idioma:Inglês
Publicat: IEEE 2022-01-01
Col·lecció:IEEE Access
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Accés en línia:https://ieeexplore.ieee.org/document/9761890/
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