6
Running the Federated Learning System and Analyzing the Results
In this chapter, you will run the federated learning (FL) system that has been discussed in previous chapters and analyze the system behaviors and the outcomes of the aggregated models. We will start by explaining the configuration of the FL system components in order to run the systems properly. Basically, after installing the simple FL system provided by our GitHub sample, you first need to pick up the server machines or instances to run the database and aggregator modules. Then, you can run agents to connect to the aggregator that is already running. The IP address of the aggregator needs to be correctly set up in each agent-side configuration. Also, there is a simulation mode ...
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