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In den WarenkorbHardcover. Zustand: New.
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In den WarenkorbNo jacket. Zustand: Bon. Ancien livre de bibliothèque avec équipements. Sans jaquette. Edition 1966. Editeur différent. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. No dust jacket. Edition 1966. Different publisher. Ammareal gives back up to 15% of this item's net price to charity organizations.
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In den WarenkorbZustand: New. In.
Verlag: Springer Nature Switzerland AG, 2022
ISBN 10: 3030855589 ISBN 13: 9783030855581
Sprache: Englisch
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Verlag: Springer Nature Switzerland AG, 2022
ISBN 10: 3030855589 ISBN 13: 9783030855581
Sprache: Englisch
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbZustand: New.
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030855589 ISBN 13: 9783030855581
Sprache: Englisch
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In den WarenkorbZustand: New. This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy.This book presents how federated learning helps to understand and learn from user activity .
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Verlag: Springer Nature Switzerland, Springer International Publishing Feb 2022, 2022
ISBN 10: 3030855589 ISBN 13: 9783030855581
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. 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.
Verlag: Springer International Publishing, Springer International Publishing, 2023
ISBN 10: 3030855619 ISBN 13: 9783030855611
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: 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.
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In den WarenkorbHardcover. Zustand: Brand New. 344 pages. 9.19x6.13x0.88 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 273 pages. 9.25x6.10x0.69 inches. In Stock.
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In den WarenkorbZustand: New. Dharmendra Singh Yadav received the Ph.D. degree in electronics and communication engineering from the PDPM-Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India. He is currently working as Assistant Profe.
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbZustand: New.
Verlag: Springer International Publishing, Springer International Publishing, 2022
ISBN 10: 3030855589 ISBN 13: 9783030855581
Sprache: Englisch
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In den WarenkorbBuch. Zustand: 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.
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In den WarenkorbHardcover. Zustand: Brand New. 344 pages. 9.19x6.13x0.88 inches. In Stock.
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In den WarenkorbZustand: New. pp. 528.
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In den WarenkorbHardcover. Zustand: Brand New. 352 pages. 7.87x10.24x1.97 inches. In Stock.
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In den WarenkorbZustand: New.
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In den WarenkorbBuch. Zustand: Neu. Neuware - Field Effect Transistors is an essential read for anyone interested in the future of electronics, as it provides a comprehensive yet accessible exploration of innovative semiconductor devices and their applications, making it a perfect resource for both beginners and seasoned professionals in the field.