Da: California Books, Miami, FL, U.S.A.
EUR 72,78
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 65,31
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 74,69
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 73,10
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Revaluation Books, Exeter, Regno Unito
EUR 94,47
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 264 pages. 6.14x0.59x9.21 inches. In Stock.
Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Very Good.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2025
ISBN 10: 1839539623 ISBN 13: 9781839539626
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 125,46
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2025
ISBN 10: 1839539623 ISBN 13: 9781839539626
Da: California Books, Miami, FL, U.S.A.
EUR 127,81
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2025
ISBN 10: 1839539623 ISBN 13: 9781839539626
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 131,82
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 147,55
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2025
ISBN 10: 1839539623 ISBN 13: 9781839539626
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 138,88
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2025
ISBN 10: 1839539623 ISBN 13: 9781839539626
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 158,13
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. Smart environments such as smart homes and industrial automation have been transformed by the rapid developments in internet of things (IoT) devices and systems. However, the widespread use of these devices poses significant difficulties, particularly in settings with limited energy resources. Due to the significant energy consumption and communication overhead associated with delivering huge amounts of data, traditional machine learning algorithms which rely on centralized cloud servers for training are not always suitable. Federated learning is a decentralized strategy that enables collaborative machine learning model training while keeping the data local on edge devices. It has emerged as a suitable solution to overcome the energy constraints of IoT devices. Federated learning works by dividing the training process among several nodes and using the processing power of edge devices. As opposed to sending raw data to a central server, only the model changes are communicated thereby considerably lowering the communication costs while protecting data privacy. This strategy reduces energy usage while simultaneously reducing network latency and bandwidth-related problems. In this book, the authors show how to optimise federated learning algorithms and develop new communication protocols and resource allocation methodologies to maximize energy savings while retaining respectable model accuracy, to develop long-lasting and scalable IoT solutions that can function independently with no dependency on an external cloud infrastructure. Energy Optimization and Security in Federated Learning for IoT Environments is intended to be a useful resource for academic researchers, RandD professionals, IoT engineers in the IT industry, and data scientists creating optimised AI models to be run in cloud environments.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2025
ISBN 10: 1839539623 ISBN 13: 9781839539626
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 140,47
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2025
ISBN 10: 1839539623 ISBN 13: 9781839539626
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 147,60
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Majestic Books, Hounslow, Regno Unito
EUR 155,39
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 160,81
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 147,91
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Taylor & Francis Ltd Dez 2025, 2025
ISBN 10: 1032424117 ISBN 13: 9781032424118
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 97,15
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - In an increasingly interconnected digital realm, Ubiquitous and Transparent Security: Challenges and Applications emerges as a guiding beacon through the intricate web of modern cybersecurity. This comprehensive tome meticulously dissects the multifaceted challenges faced in safeguarding our digital infrastructure. From the omnipresence of threats to the evolving landscape of vulnerabilities, this book navigates the complexities with a keen eye, offering a panoramic view of the security terrain.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 165,41
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 163,44
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Inst of Engineering & Technology, 2025
ISBN 10: 1839539623 ISBN 13: 9781839539626
Da: Revaluation Books, Exeter, Regno Unito
EUR 169,46
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 350 pages. 9.21x6.14x9.21 inches. In Stock.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 163,67
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 135,38
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 172,72
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 188,42
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 190,83
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2025
ISBN 10: 1839539623 ISBN 13: 9781839539626
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 194,63
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. Smart environments such as smart homes and industrial automation have been transformed by the rapid developments in internet of things (IoT) devices and systems. However, the widespread use of these devices poses significant difficulties, particularly in settings with limited energy resources. Due to the significant energy consumption and communication overhead associated with delivering huge amounts of data, traditional machine learning algorithms which rely on centralized cloud servers for training are not always suitable. Federated learning is a decentralized strategy that enables collaborative machine learning model training while keeping the data local on edge devices. It has emerged as a suitable solution to overcome the energy constraints of IoT devices. Federated learning works by dividing the training process among several nodes and using the processing power of edge devices. As opposed to sending raw data to a central server, only the model changes are communicated thereby considerably lowering the communication costs while protecting data privacy. This strategy reduces energy usage while simultaneously reducing network latency and bandwidth-related problems. In this book, the authors show how to optimise federated learning algorithms and develop new communication protocols and resource allocation methodologies to maximize energy savings while retaining respectable model accuracy, to develop long-lasting and scalable IoT solutions that can function independently with no dependency on an external cloud infrastructure. Energy Optimization and Security in Federated Learning for IoT Environments is intended to be a useful resource for academic researchers, RandD professionals, IoT engineers in the IT industry, and data scientists creating optimised AI models to be run in cloud environments.
Da: California Books, Miami, FL, U.S.A.
EUR 199,70
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.