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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Idioma: Inglés
Publicado por TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2025
ISBN 10: 1032859512 ISBN 13: 9781032859514
Librería: UK BOOKS STORE, London, LONDO, Reino Unido
EUR 294,43
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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Añadir al carritoHardcover. Condición: new. Hardcover. This book explores the applications and advancements of federated learning across diverse sectors, focusing on its integration with cutting- edge technologies like Internet of Things (IoT), artificial intelligence (AI), blockchain, and digital twins. Real-world examples and case studies illustrate federated learnings role in healthcare, smart cities, and maritime applications while addressing critical concerns such as security. It provides insights into federated learnings transformative potential, offering practical strategies for intelligent systems and sustainable environments. The book particularly:Focuses on the federated learningbased model optimization, addressing the significance of IoT and federated learning in the evolution of intelligent systems for various applicationsDescribes the different optimization techniques of federated learning systems from a practical point of viewHighlights economic, social, and environmental impacts of smart technologies and provides insights into IoT, 5G/ 6G communication, and computing standardsProvides analysis of the use cases of federated learning regarding the development of IoT, AI, blockchain, digital twinsOffers strategies for overcoming challenges associated with federated learning systems, including connectivity, computation, threats, privacy, and security issuesIt covers fundamental concepts, practical implementations, and trends, to serve as a reference resource for professionals and researchers in the field. This book explores the applications and advancements of Federated Learning across diverse sectors, focusing on its integration with cutting-edge technologies like IoT, AI, Blockchain, and Digital Twins. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: CitiRetail, Stevenage, Reino Unido
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Añadir al carritoHardcover. Condición: new. Hardcover. This book explores the applications and advancements of federated learning across diverse sectors, focusing on its integration with cutting- edge technologies like Internet of Things (IoT), artificial intelligence (AI), blockchain, and digital twins. Real-world examples and case studies illustrate federated learnings role in healthcare, smart cities, and maritime applications while addressing critical concerns such as security. It provides insights into federated learnings transformative potential, offering practical strategies for intelligent systems and sustainable environments. The book particularly:Focuses on the federated learningbased model optimization, addressing the significance of IoT and federated learning in the evolution of intelligent systems for various applicationsDescribes the different optimization techniques of federated learning systems from a practical point of viewHighlights economic, social, and environmental impacts of smart technologies and provides insights into IoT, 5G/ 6G communication, and computing standardsProvides analysis of the use cases of federated learning regarding the development of IoT, AI, blockchain, digital twinsOffers strategies for overcoming challenges associated with federated learning systems, including connectivity, computation, threats, privacy, and security issuesIt covers fundamental concepts, practical implementations, and trends, to serve as a reference resource for professionals and researchers in the field. This book explores the applications and advancements of Federated Learning across diverse sectors, focusing on its integration with cutting-edge technologies like IoT, AI, Blockchain, and Digital Twins. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: moluna, Greven, Alemania
EUR 179,01
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. S. Jayachitra, presently working as an Assistant Professor at PSNA College of Engineering and Technology, Dindigul, India. She received B.E. degree in Electronics and Communication Engineering from Anna University, Chennai and M.E degree.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores the applications and advancements of Federated Learning across diverse sectors, focusing on its integration with cutting-edge technologies like IoT, AI, Blockchain, and Digital Twins.
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 347,58
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Añadir al carritoHardcover. Condición: new. Hardcover. This book explores the applications and advancements of federated learning across diverse sectors, focusing on its integration with cutting- edge technologies like Internet of Things (IoT), artificial intelligence (AI), blockchain, and digital twins. Real-world examples and case studies illustrate federated learnings role in healthcare, smart cities, and maritime applications while addressing critical concerns such as security. It provides insights into federated learnings transformative potential, offering practical strategies for intelligent systems and sustainable environments. The book particularly:Focuses on the federated learningbased model optimization, addressing the significance of IoT and federated learning in the evolution of intelligent systems for various applicationsDescribes the different optimization techniques of federated learning systems from a practical point of viewHighlights economic, social, and environmental impacts of smart technologies and provides insights into IoT, 5G/ 6G communication, and computing standardsProvides analysis of the use cases of federated learning regarding the development of IoT, AI, blockchain, digital twinsOffers strategies for overcoming challenges associated with federated learning systems, including connectivity, computation, threats, privacy, and security issuesIt covers fundamental concepts, practical implementations, and trends, to serve as a reference resource for professionals and researchers in the field. This book explores the applications and advancements of Federated Learning across diverse sectors, focusing on its integration with cutting-edge technologies like IoT, AI, Blockchain, and Digital Twins. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.