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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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Bibliografske podrobnosti
Main Authors:	Fuki Yamamoto, Seiichi Ozawa, Lihua Wang
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2022-01-01
Serija:	IEEE Access
Teme:	Machine learning privacy-preserving gradient boosting federated learning decision tree
Online dostop:	https://ieeexplore.ieee.org/document/9761890/
Oznake:	Označite Brez oznak, prvi označite!

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

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