Handbook of Trustworthy Federated Learning

This Handbook aims to serve as a one-stop, reliable resource, including curated surveys and expository contributions on Federated Learning. It covers a comprehensive range of topics, providing the reader with technical and non-technical fundamentals, applications, and extensive details of various to...

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Detalles Bibliográficos

Autor Corporativo:	SpringerLink (Online service)
Outros autores:	Thai, My T. (Editor), Phan, Hai N. (Editor), Thuraisingham, Bhavani (Editor)
Formato:	Electrónico eBook
Idioma:	inglés
Publicado:	Cham : Springer International Publishing : Imprint: Springer, 2025.
Edición:	1st ed. 2025.
Series:	Springer Optimization and Its Applications, 213
Subjects:	Data protection. Mathematical optimization. Machine learning. Data and Information Security. Optimization. Machine Learning.
Acceso en liña:	https://doi.org/10.1007/978-3-031-58923-2
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