Federated XGBoost on Sample-Wise Non-IID Data

no code implementations • 3 Sep 2022 • Katelinh Jones, Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo

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 process.

Federated Learning