Federated Deep Learning for Healthcare: A Practical Guide with Challenges and Opportunities
Amandeep Kaur, Chetna Kaushal, Md. Mehedi Hassan, Si Thu Aung
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.
年:
2024
语言:
english
文件:
PDF, 9.35 MB
IPFS:
,
english, 2024