This notebook is part of a Federated Learning tutorial that demonstrates how to use Federated Learning with the Python client. This is the second notebook that should be run by the party of the Federated Learning experiment. It should be run after Federated Learning Demo Part 1 - for Admin It teaches the user how to:
- 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 MNIST dataset and a Tensorflow 2 Keras model template. It runs on a Python 3.7 environment.