Part 3 Moving Toward the Production of Federated Learning Applications

In this part, you will be introduced to the existing federated learning (FL) frameworks, such as TensorFlow Federated (TFF), PySyft, Flower, and STADLE, and learn about their libraries and how to actually run those frameworks. In addition, you will understand what is happening with FL in the real world by learning about the current and potential use cases that are being implemented in industries worldwide, especially in global enterprise companies. The book concludes by looking at the future trends and developments of FL to understand where AI technology itself is heading to envision a wisdom-driven future.

This part comprises the following chapters:

• Chapter 8, Introducing Existing Federated Learning Frameworks
• Chapter 9, Case Studies with Key Use Cases of Federated Learning Applications
• Chapter 10, Future Trends and Developments