Artificial Intelligence Using Federated Learning : Fundamentals, Challenges, and Applications

Bys: Elngar, Ahmed A., Oliva, Diego, Balas, Valentina Emilia

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.

• Format: Paperback
• Language: English
• ISBN: 1032772468
• ISBN13: 9781032772462
• Release Date: January 1
• Publisher: CRC Press LLC
• Length: 308 Pages
• Weight: 1.00 lbs.
• Dimensions: 6.1" x 9.2"