{
"item_title" : "Federated Deep Learning for Healthcare",
"item_author" : [" Amandeep Kaur", "Chetna Kaushal", "MD Mehedi Hassan "],
"item_description" : "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.",
"item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/03/269/486/1032694866_b.jpg",
"price_data" : {
"retail_price" : "73.99", "online_price" : "73.99", "our_price" : "73.99", "club_price" : "73.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Federated Deep Learning for Healthcare : A Practical Guide with Challenges and Opportunities
Other Available Formats
Overview
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.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9781032694863
- ISBN-10: 1032694866
- Publisher: CRC Press
- Publish Date: July 2026
- Dimensions: 9.21 x 6.14 x 0.56 inches
- Shipping Weight: 0.84 pounds
- Page Count: 252
Related Categories
