Eai/springer innovations in communication and computing - 9783030855581 - federated learning for iot applications (15 risultati)
Federated Learning for Iot Applications
Yadav, Satya Prakash (EDT); Bhati, Bhoopesh Singh (EDT); Mahato, Dharmendra Prasad (EDT); Kumar, Sachin (EDT)
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 106 di 129 - EAI/Springer Innovations in Communication and Computing
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Lingua: Inglese
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Federated Learning for Iot Applications
Yadav, Satya Prakash (EDT); Bhati, Bhoopesh Singh (EDT); Mahato, Dharmendra Prasad (EDT); Kumar, Sachin (EDT)
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 106 di 129 - EAI/Springer Innovations in Communication and Computing
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Federated Learning for Iot Applications
Yadav, Satya Prakash (EDT); Bhati, Bhoopesh Singh (EDT); Mahato, Dharmendra Prasad (EDT); Kumar, Sachin (EDT)
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 106 di 129 - EAI/Springer Innovations in Communication and Computing
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Federated Learning for Iot Applications
Yadav, Satya Prakash (EDT); Bhati, Bhoopesh Singh (EDT); Mahato, Dharmendra Prasad (EDT); Kumar, Sachin (EDT)
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 106 di 129 - EAI/Springer Innovations in Communication and Computing
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Lingua: Inglese
Editore: Springer, 2022
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 106 di 129 - EAI/Springer Innovations in Communication and Computing
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: 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 m…odels 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.
Federated Learning for IoT Applications (EAI/Springer Innovations in Communication and Computing)
Yadav, Satya Prakash (Editor) / Bhati, Bhoopesh Singh (Editor) / Mahato, Dharmendra Prasad (Editor) / Kumar, Sachin (Editor)
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 106 di 129 - EAI/Springer Innovations in Communication and Computing
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 273 pages. 9.25x6.10x0.69 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 106 di 129 - EAI/Springer Innovations in Communication and Computing
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Feb 2022, 2022
Serie: Libro 106 di 129 - EAI/Springer Innovations in Communication and Computing
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: 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 buil…d 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.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2021
Serie: Libro 106 di 129 - EAI/Springer Innovations in Communication and Computing
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: 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.This book presents how federated learning he…lps to understand and learn from user activity .
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 106 di 129 - EAI/Springer Innovations in Communication and Computing
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 106 di 129 - EAI/Springer Innovations in Communication and Computing
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Buch. Condizione: Neu. Federated Learning for IoT Applications | Satya Prakash Yadav (u. a.) | Buch | EAI/Springer Innovations in Communication and Computing | viii | Englisch | 2022 | Springer | EAN 9783030855581 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann…[at]springer[dot]com | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Springer, Birkhäuser Feb 2022, 2022
Serie: Libro 106 di 129 - EAI/Springer Innovations in Communication and Computing
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: 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 pe…rsonalized 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 KG, Sachsenplatz 4-6, 1201 Wien 276 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 106 di 129 - EAI/Springer Innovations in Communication and Computing
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
