Artificial Intelligence Using Federated Learning

Discover the cutting-edge world of federated machine learning in Artificial Intelligence Using Federated Learning by Ahmed A. Elngar. Published by Taylor & Francis Ltd in 2024, this essential hardback edition spans 294 pages, offering a comprehensive exploration of how federated learning integrates distributed machine learning with advanced cryptography and security measures.

This innovative approach empowers organizations to manage sensitive and private data while ensuring compliance with rigorous data protection regulations such as GDPR and CCPA. By decentralizing data storage, federated learning enhances security and privacy, making it an invaluable resource for businesses navigating today’s digital landscape.

Whether you are a data scientist, a cybersecurity professional, or simply curious about the future of artificial intelligence, this book provides the insights you need to understand and implement federated learning effectively. Don't miss out on this pivotal addition to your library!