Workings of the Federated Learning System
This chapter will provide an overview of the architecture, procedure flow, sequence of messages, and basics of model aggregation of the federated learning (FL) system. As discussed in Chapter 2, What Is Federated Learning?, the conceptual basics of the FL framework are quite simple and easy to understand. However, the real implementation of the FL framework needs to come with a good understanding of both AI and distributed systems.
The content of this chapter is based on the most standard foundation of FL systems, which is used in hands-on exercises later in the book. First, we will introduce the building blocks of FL systems, such as an aggregator with an FL server, an agent with an FL client, a database server, and communication between these components. The architecture introduced in this chapter is designed in a decoupled way so that further enhancement to the system will be relatively easier than with an FL system that contains everything...
