Security and Privacy in Federated Learning - Softcover

Yu, Shui; Cui, Lei

 
9789811986932: Security and Privacy in Federated Learning
Softcover
ISBN 10: 9811986932 ISBN 13: 9789811986932
Publisher: Springer, 2023

Synopsis

In this book, the authors highlight the latest research findings on the security and privacy of federated learning systems. The main attacks and counterattacks in this booming field are presented to readers in connection with inference, poisoning, generative adversarial networks, differential privacy, secure multi-party computation, homomorphic encryption, and shuffle, respectively.   

The book offers an essential overview for researchers who are new to the field, while also equipping them to explore this "uncharted territory." For each topic, the authors first present the key concepts, followed by the most important issues and solutions, with appropriate references for further reading. 

The book is self-contained, and all chapters can be read independently. It offers a valuable resource for master's students, upper undergraduates, Ph.D. students, and practicing engineers alike.

"synopsis" may belong to another edition of this title.

Publisher
Springer
Publication date
2023
Language
English
ISBN 10 
9811986932
ISBN 13 
9789811986932
Binding
Paperback
Number of pages
148

Other Popular Editions of the Same Title

9789811986918: Security and Privacy in Federated Learning (Digital Privacy and Security)

Featured Edition

ISBN 10:  9811986916 ISBN 13:  9789811986918
Publisher: Springer, 2023
Hardcover