Federated and Transfer Learning

Beschreibung

Neuware -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 and reinforcement learning. Over the last few years, the machine learning community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 380 pp. Englisch.

Bestandsnummer des Verkäufers 9783031117503

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Bibliografische Details

Titel

Federated and Transfer Learning

Verlag

Springer International Publishing, Springer International Publishing Okt 2023

Erscheinungsjahr

2023

Sprache

Englisch

ISBN-10

3031117506

ISBN-13

9783031117503

Einband

Taschenbuch

Zustand

Neu

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