Federated XGBoost on Sample-Wise Non-IID Data

Federated Learning (FL) is a paradigm for jointly training machine learning algorithms in a decentralized manner which allows for parties to communicate with an aggregator to create and train a model, without exposing the underlying raw data distribution of the local parties involved in the training...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Jones, Katelinh, Ong, Yuya Jeremy, Zhou, Yi, Baracaldo, Nathalie
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
Online-Zugang:	Volltext bestellen
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