Foundations of Federated Learning
Springer Nature Switzerland·Grāmatas·EAN 9783032340849
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This book provides a rigorous yet accessible introduction to federated learning as a privacy-aware, decentralized, and trustworthy approach to artificial intelligence. As data becomes increasingly distributed across devices, organizations, institutions, and jurisdictions, conventional centralized machine learning faces growing challenges related to privacy, regulation, communication costs, data ownership, and trust. The book explains the mathematical foundations, optimization methods, system architectures, and key algorithms that enable collaborative model training without centralizing sensitive data. It also examines heterogeneous data, scalability, fault tolerance, privacy and security mechanisms, governance, fairness, accountability, and regulatory compliance. Suitable for students, researchers, educators, and practitioners, it offers a unified framework for designing responsible, secure, and privacy-preserving AI systems worldwide.
Comparano salīdzina Foundations of Federated Learning cenas 1 interneta veikalā. Labākā cena šodien ir 64,19 €. Pēdējo 90 dienu laikā zemākā dienas cena vidēji bija 64,19 €. Cenas tiek atjauninātas vairākas reizes dienā; galīgā cena tiek apstiprināta veikalā.
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