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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Bibliografiset tiedot
Päätekijät: Fuki Yamamoto, Seiichi Ozawa, Lihua Wang
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: IEEE 2022-01-01
Sarja:IEEE Access
Aiheet:
Machine learning
privacy-preserving
gradient boosting
federated learning
decision tree
Linkit:https://ieeexplore.ieee.org/document/9761890/
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