ISBN: 9798369318744 - federated learning and privacy-preserving in healthcare ai

HRD. 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.

Federated Learning and Privacy-Preserving in Healthcare AI

Idioma: Inglés

Editorial: IGI Global, 2024

9798369318744

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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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EUR 455,81

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HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Federated Learning and Privacy-Preserving in Healthcare AI

Manoharan Poongodi

Idioma: Inglés

Editorial: IGI Global, 2024

9798369318744

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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Condición: Nuevo

EUR 572,40

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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The use of artificial intelligence (AI) in data-driven medicine has revolutionized healthcare, presenting practitioners with unprecedented tools for diagnosis and personalized therapy. However, this progress comes with a critical concern: the security and privacy of sensitive patient data. As healthcare increasingly leans on AI, the need for robust solutions to safeguard patient information has become more pressing than ever. Federated Learning and Privacy-Preserving in Healthcare AI emerges as the definitive solution to balancing medical progress with patient data security. This carefully curated volume not only outlines the challenges of federated learning but also provides a roadmap for implementing privacy-preserving AI systems in healthcare. By decentralizing the training of AI models, federated learning mitigates the risks associated with centralizing patient data, ensuring that critical information never leaves its original location. Aimed at healthcare professionals, AI experts, policymakers, and academics, this book not only delves into the technical aspects of federated learning but also fosters a collaborative approach to address the multifaceted challenges at the intersection of healthcare and AI.…

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