• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Federated Deep Learning for Healthcare: A Practical Guide with Challenges and Opportunities

Federated Deep Learning for Healthcare: A Practical Guide with Challenges and Opportunities

Hardcover

Series: Advances in Smart Healthcare Technologies

General Computers

ISBN10: 1032689552
ISBN13: 9781032689555
Publisher: CRC Press
Published: Oct 2 2024
Pages: 252
Weight: 1.22
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English

This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising domain adaptation, model distillation, and transfer learning. It covers concerns in model fairness, data bias, regulatory compliance, and ethical dilemmas. It investigates several privacy-preserving methods such as homomorphic encryption, secure multi-party computation, and differential privacy. It will enable readers to build and implement federated learning systems that safeguard private medical information.

Also in

General Computers