Federated Learning for IoT Applications - Couverture souple

9783030855611: Federated Learning for IoT Applications

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ISBN 10 : 3030855619 ISBN 13 : 9783030855611

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Langue: anglais
ISBN 10: 3030855619
ISBN 13: 9783030855611
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Federated Learning for IoT Applications (eng)

Yadav, Satya Prakash

Edit� par Springer Nature Switzerland AG

ISBN 10 : 3030855619 ISBN 13 : 9783030855611

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Federated Learning for IoT Applications

Edit� par Springer Nature Switzerland AG

ISBN 10 : 3030855619 ISBN 13 : 9783030855611

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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

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Federated Learning for IoT Applications

Satya Prakash Yadav

Edit� par Springer International Publishing Feb 2023, 2023

ISBN 10 : 3030855619 ISBN 13 : 9783030855611

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users' privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federatedlearning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering. 276 pp. Englisch. N� de r�f. du vendeur 9783030855611

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Federated Learning for IoT Applications

Edit� par Springer, Berlin|Springer International Publishing|Springer, 2023

ISBN 10 : 3030855619 ISBN 13 : 9783030855611

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized mode. N� de r�f. du vendeur 803180483

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Federated Learning for IoT Applications

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ISBN 10 : 3030855619 ISBN 13 : 9783030855611

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Etat : New. pp. 276. N� de r�f. du vendeur 26396291684

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Federated Learning for IoT Applications

Edit� par Springer

ISBN 10 : 3030855619 ISBN 13 : 9783030855611

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Vendeur : Majestic Books, Hounslow, Royaume-Uni

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Etat : New. Print on Demand pp. 276. N� de r�f. du vendeur 401166779

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Federated Learning for IoT Applications

Satya Prakash Yadav (u. a.)

Edit� par Springer, 2023

ISBN 10 : 3030855619 ISBN 13 : 9783030855611

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Federated Learning for IoT Applications

Satya Prakash Yadav

Edit� par Birkh�user, Springer Feb 2023, 2023

ISBN 10 : 3030855619 ISBN 13 : 9783030855611

Neuf Taschenbuch

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users' privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federatedlearning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch. N� de r�f. du vendeur 9783030855611

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Federated Learning for Iot Applications

Yadav, Satya Prakash (Editor)/ Bhati, Bhoopesh Singh (Editor)/ Mahato, Dharmendra Prasad (Editor)/ Kumar, Sachin (Editor)

Edit� par Springer Nature, 2023

ISBN 10 : 3030855619 ISBN 13 : 9783030855611

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Paperback. Etat : Brand New. 265 pages. 9.25x6.10x9.21 inches. In Stock. N� de r�f. du vendeur x-3030855619

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Federated Learning for IoT Applications

Satya Prakash Yadav

Edit� par Springer International Publishing, Springer International Publishing

ISBN 10 : 3030855619 ISBN 13 : 9783030855611

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users' privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federatedlearning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering. N� de r�f. du vendeur 9783030855611

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