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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Autori principali:	Jin, Yaochu (Autore), Zhu, Hangyu (Autore), Xu, Jinjin (Autore), Chen, Yang (Autore)
Ente Autore:	SpringerLink (Online service)
Natura:	Elettronico eBook
Lingua:	inglese
Pubblicazione:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edizione:	1st ed. 2023.
Serie:	Machine Learning: Foundations, Methodologies, and Applications,
Soggetti:	Machine learning. Data protection > Law and legislation. Cryptography. Data encryption (Computer science). Machine Learning. Privacy. Cryptology.
Accesso online:	https://doi.org/10.1007/978-981-19-7083-2
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