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Federated Learning Fundamentals and Advances /

This book introduces readers to the fundamentals of and recent advances in federated learning, focusing on reducing communication costs, improving computational efficiency, and enhancing the security level. Federated learning is a distributed machine learning paradigm which enables model training on...

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Dades bibliogràfiques
Autors principals:	Jin, Yaochu (Autor), Zhu, Hangyu (Autor), Xu, Jinjin (Autor), Chen, Yang (Autor)
Autor corporatiu:	SpringerLink (Online service)
Format:	Electrònic eBook
Idioma:	anglès
Publicat:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edició:	1st ed. 2023.
Col·lecció:	Machine Learning: Foundations, Methodologies, and Applications,
Matèries:	Machine learning. Data protection > Law and legislation. Cryptography. Data encryption (Computer science). Machine Learning. Privacy. Cryptology.
Accés en línia:	https://doi.org/10.1007/978-981-19-7083-2
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

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