Federated Learning : Privacy and Incentive /

This book provides a comprehensive and self-contained introduction to Federated Learning, ranging from the basic knowledge and theories to various key applications, and the privacy and incentive factors are the focus of the whole book. This book is timely needed since Federated Learning is getting p...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Yang, Qiang (Editor), Fan, Lixin (Editor), Yu, Han (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Series:	Lecture Notes in Artificial Intelligence ; 12500
Subjects:	Artificial intelligence. Computer security. Computer communication systems. Application software. Artificial Intelligence. Systems and Data Security. Computer Communication Networks. Computer Applications. Electronic books.
Online Access:	Connect to the full text of this electronic book