Federated deep learning for healthcare: a practical guide with challenges and opportunities
Éditeur :
Taylor & Francis Ltd
ISBN :
9781032689555
Date de publication :
2 oct. 2024
Dimensions :
23,4 x 15,6 cm
Poids :
498 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.