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...

Full beskrivning

Sparad:
Bibliografiska uppgifter
Huvudupphovsmän: Fuki Yamamoto, Seiichi Ozawa, Lihua Wang
Materialtyp: Artigo
Språk:Inglês
Publicerad: IEEE 2022-01-01
Serie:IEEE Access
Ämnen:
Machine learning
privacy-preserving
gradient boosting
federated learning
decision tree
Länkar:https://ieeexplore.ieee.org/document/9761890/
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk