Part 2 The Design and Implementation of the Federated Learning System

In this part, we will explain the implementation principle of the federated learning (FL) system using Python. You will learn how to design the software components and code the essential functionalities of both the FL server and the client. In addition, you will be able to integrate your own machine learning process into the FL system and run and analyze your FL-based applications.

This part comprises the following chapters:

• Chapter 4, Federated Learning Server Implementation with Python
• Chapter 5, Federated Learning Client-Side Implementation
• Chapter 6, Running the Federated Learning System and Analyzing the Results
• Chapter 7, Model Aggregation