Introduction to Federated Learning with Python & Flower

In this session you will be introduced to Federated Learning in a practical way, a technique that allows you to train machine learning models without centrally storing the data. We will cover the basic principles, look at available frameworks and discuss the challenges of this technology. In the second, hands-on part you will get started with the Flower framework and Python to apply this knowledge in practice. Teacher: Thomas Van den Bossche