Discover the revolutionary field of Federated Learning, a groundbreaking approach to collaborative machine learning that prioritizes data privacy. This essential book from The Bookish Owl explains how multiple data owners can train a shared prediction model without ever sharing their sensitive local data. Addressing critical privacy concerns and regulations like GDPR, it delves into novel solutions combining distributed machine learning, cryptography, and economic incentive design. Explore various privacy-preserving techniques, understand their technological underpinnings, and see real-world applications. Federated Learning is poised to become the bedrock of responsible AI, enabling secure and ethical machine learning for the future. Ideal for researchers, developers, and anyone interested in privacy-preserving AI.