Federated Learning

Discover the groundbreaking world of federated learning with Federated Learning by Qiang Yang. Published by Springer Nature Switzerland AG in 2020, this first edition spans 286 pages and serves as a comprehensive and self-contained introduction to this innovative field.

Delve into the foundational theories and essential knowledge of federated learning, while exploring its diverse applications across various sectors. This book is ideal for researchers, practitioners, and anyone interested in understanding the intricacies of federated learning and its impact on modern data privacy and machine learning. Enhance your expertise and stay ahead in this rapidly evolving domain with Qiang Yang's insightful work.