Federated XGBoost on Sample-Wise Non-IID Data

Katelinh Jones, Yuya Jeremy Ong, Yi Zhou +1

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 creat…