Federated and Transfer Learning /

This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning a...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Razavi-Far, Roozbeh (Editor), Wang, Boyu (Editor), Taylor, Matthew E. (Editor), Yang, Qiang (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Series:	Adaptation, Learning, and Optimization, 27
Subjects:	Computational intelligence. Artificial intelligence. Machine learning. Computational Intelligence. Artificial Intelligence. Machine Learning. Electronic books.
Online Access:	Connect to the full text of this electronic book