Overview
Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA.
- | Author: Ahmed A. Elngar
- | Publisher: CRC Press
- | Publication Date: Dec 30, 2024
- | Number of Pages: 294 pages
- | Binding: Hardback or Cased Book
- | ISBN-10: 103277164X
- | ISBN-13: 9781032771649
