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Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, 2024
ISBN 10: 0443138974 ISBN 13: 9780443138973
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 176,24
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 179,10
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 187,94
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 217,48
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 217,88
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Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, US, 2024
ISBN 10: 0443138974 ISBN 13: 9780443138973
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 241,59
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Añadir al carritoPaperback. Condición: New. Federated Learning for Digital Healthcare Systems critically examines the key factors that contribute to the problem of applying machine learning in healthcare systems and investigates how federated learning can be employed to address the problem. The book discusses, examines, and compares the applications of federated learning solutions in emerging digital healthcare systems, providing a critical look in terms of the required resources, computational complexity, and system performance.In the first section, chapters examine how to address critical security and privacy concerns and how to revamp existing machine learning models. In subsequent chapters, the book's authors review recent advances to tackle emerging efficient and lightweight algorithms and protocols to reduce computational overheads and communication costs in wireless healthcare systems. Consideration is also given to government and economic regulations as well as legal considerations when federated learning is applied to digital healthcare systems.
EUR 206,62
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Añadir al carritoCondición: New. Provides insights into real-world scenarios of the design, development, deployment, application, management, and benefits of federated learning in emerging digital healthcare systemsHighlights the need to design efficient federated learning.
Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, US, 2024
ISBN 10: 0443138974 ISBN 13: 9780443138973
Librería: Rarewaves.com UK, London, Reino Unido
EUR 229,24
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Añadir al carritoPaperback. Condición: New. Federated Learning for Digital Healthcare Systems critically examines the key factors that contribute to the problem of applying machine learning in healthcare systems and investigates how federated learning can be employed to address the problem. The book discusses, examines, and compares the applications of federated learning solutions in emerging digital healthcare systems, providing a critical look in terms of the required resources, computational complexity, and system performance.In the first section, chapters examine how to address critical security and privacy concerns and how to revamp existing machine learning models. In subsequent chapters, the book's authors review recent advances to tackle emerging efficient and lightweight algorithms and protocols to reduce computational overheads and communication costs in wireless healthcare systems. Consideration is also given to government and economic regulations as well as legal considerations when federated learning is applied to digital healthcare systems.
Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc Jun 2024, 2024
ISBN 10: 0443138974 ISBN 13: 9780443138973
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 289,43
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Federated Learning for Digital Healthcare Systems critically examines the key factors that contribute to the problem of applying machine learning in healthcare systems and investigates how federated learning can be employed to address the problem. The book discusses, examines, and compares the applications of federated learning solutions in emerging digital healthcare systems, providing a critical look in terms of the required resources, computational complexity, and system performance. In the first section, chapters examine how to address critical security and privacy concerns and how to revamp existing machine learning models. In subsequent chapters, the book's authors review recent advances to tackle emerging efficient and lightweight algorithms and protocols to reduce computational overheads and communication costs in wireless healthcare systems. Consideration is also given to government and economic regulations as well as legal considerations when federated learning is applied to digital healthcare systems.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 160,36
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Añadir al carritoPaperback. Condición: Brand New. 300 pages. 7.52x1.04x9.25 inches. In Stock. This item is printed on demand.
Publicado por Academic Press
ISBN 10: 0443138974 ISBN 13: 9780443138973
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 142,82
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Añadir al carritoCondición: new. Questo è un articolo print on demand.