Federated Learning XGBoost Project

This sample project contains 2 notebooks.

Federated Learning XGBoost Demo Part 1 - for Admin
Federated Learning XGBoost Demo Part 2 - for Party

They are placed into one project for educational purposes. For practical purposes of Federated Learning, one user would run the admin notebook and multiple users would run the party notebook. After running this project the user should know how to:

Load an untrained model Create a Remote Training System Start a training job Load the data that you intend to use in the Federated Learning experiment. Install IBM Federated Learning libraries. Define a data handler. Configure the party to train data with the aggregator.

This notebook uses the Adult income dataset and uses an XGBoost framework. It runs on the latest Python environment.