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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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Podrobná bibliografie
Korporativní autor:	SpringerLink (Online service)
Další autoři:	Thai, My T. (Editor), Phan, Hai N. (Editor), Thuraisingham, Bhavani (Editor)
Médium:	Elektronický zdroj E-kniha
Jazyk:	angličtina
Vydáno:	Cham : Springer International Publishing : Imprint: Springer, 2025.
Vydání:	1st ed. 2025.
Edice:	Springer Optimization and Its Applications, 213
Témata:	Data protection. Mathematical optimization. Machine learning. Data and Information Security. Optimization. Machine Learning.
On-line přístup:	https://doi.org/10.1007/978-3-031-58923-2
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

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