This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. Th

This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applicati

The term Federated Learning was coined as recently as 2016 to describe a machine learning setting where multiple entities collaborate in solving a machine learn

Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are most

The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly deta