{
"item_title" : "Federated Learning",
"item_author" : [" Somanath Tripathy", "Harsh Kasyap", "Minghong Fang "],
"item_description" : "As data becomes more abundant and widespread across personal devices, the need for secure, privacy-aware machine learning is growing. Federated Learning (FL) offers a promising solution, enabling smart devices to collaboratively train models without sharing raw data.",
"item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/04/117/462/1041174624_b.jpg",
"price_data" : {
"retail_price" : "89.99", "online_price" : "89.99", "our_price" : "89.99", "club_price" : "89.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Federated Learning : Security and Privacy
Overview
As data becomes more abundant and widespread across personal devices, the need for secure, privacy-aware machine learning is growing. Federated Learning (FL) offers a promising solution, enabling smart devices to collaboratively train models without sharing raw data.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9781041174622
- ISBN-10: 1041174624
- Publisher: CRC Press
- Publish Date: December 2025
- Dimensions: 8.5 x 5.5 x 0.44 inches
- Shipping Weight: 0.76 pounds
- Page Count: 156
Related Categories
