Case Studies with Key Use Cases of Federated Learning Applications

Federated learning (FL) has met with a variety of AI applications so far in various contexts and integration has been explored with trials and errors in those fields. One of the most popular areas has been in the medical and healthcare fields where the concept of privacy-preserving AI naturally fits with the current needs and challenges of healthcare AI. FL has also been applied to the financial services industry, edge computing devices, and the Internet of Things (IoT), through which FL has been shown to have significant benefits in quite a few applications, which will resolve many important social problems.

In this chapter, we will be discussing some of the major use cases of FL in different fields. It is our hope that by the end of this chapter, you’ll be familiar with some of the applications of FL in different industries. We'll start by exploring the use of FL in the healthcare and financial industries...