Shulph Ink
Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications
Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications
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- More about Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications
Format: Hardback
Length: 294 pages
Publication date: 30 December 2024
Publisher: Taylor & Francis Ltd
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.
Weight: 453g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032771649
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