Federated Learning Systems

Chapter 1 Federated Learning Research: Trends and Bibliometric Analysis

Chapter 2 A Review of Privacy-Preserving Federated Learning for the Internet-of-Things

Chapter 3 Differentially Private Federated Learning: Algorithm, Analysis and Optimization

Chapter 4 Advancements of Federated Learning Towards Privacy Preservation: From Federated Learning to Split Learning

Chapter 5 PySyft: A Library for Easy Federated Learning

Chapter 6 Federated Learning Systems for Healthcare: Perspective and Recent Progress

Chapter 7 Towards Blockchain-Based Fair and Trustworthy Federated Learning Systems