Federated Deep Learning for Healthcare: A Practical Guide with Challenges and Opportunities - Advances in Smart Healthcare Technologies - Amandeep Kaur-Si Thu Aung-Md. Mehedi Hassan-Chetna - Books - Taylor & Francis Ltd - 9781032689555 - October 2, 2024
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Federated Deep Learning for Healthcare: A Practical Guide with Challenges and Opportunities - Advances in Smart Healthcare Technologies

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This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising of domain adaptation, model distillation, and transfer learning. It covers concerns in model fairness, data bias, regulatory compliance, and ethical dilemmas.


312 pages, 9 Tables, black and white; 41 Line drawings, black and white; 3 Halftones, black and whit

Media Books     Hardcover Book   (Book with hard spine and cover)
Released October 2, 2024
ISBN13 9781032689555
Publishers Taylor & Francis Ltd
Pages 252
Dimensions 150 × 220 × 20 mm   ·   498 g
Language English  
Editor Aung, Si Thu (Univ at Buffalo, USA)
Editor Hassan, Md. Mehedi (Khulna Uni, Bangladesh)
Editor Kaur, Amandeep (Chitkara University, India)
Editor Kaushal, Chetna (Chitkara University, India)

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