Federated Learning (Security and Privacy)
List Price:
$89.99
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- Branding: minimum 50 pieces (add’l costs below)
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Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
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- Set-Up Charge: $45 per decoration
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Product Details
Author:
Somanath Tripathy, Harsh Kasyap, Minghong Fang
Format:
Hardcover
Pages:
172
Publisher:
CRC Press (December 4, 2025)
Imprint:
CRC Press
Language:
English
Audience:
College/higher education
ISBN-13:
9781041174622
Weight:
11.375oz
Dimensions:
5.4375" x 8.5"
File:
TAYLORFRANCIS-TayFran_260711045946678-20260711.xml
Folder:
TAYLORFRANCIS
List Price:
$89.99
Country of Origin:
United States
Pub Discount:
30
As low as:
$85.49
Publisher Identifier:
P-CRC
Discount Code:
H
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.
