Téléchargez le livre : Federated Learning
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Description
Federated Learning: Theory and Practi ce provides a holisti c treatment to federated learning as a distributed learning system with various forms of decentralized data and features. Part I of the book begins with a broad overview of opti mizati on fundamentals and modeling challenges, covering various aspects of communicati on effi ciency, theoretical convergence, and security. Part II featuresemerging challenges stemming from many socially driven concerns of federated learning as a future public machine learning service. Part III concludes the book with a wide array of industrial applicati ons of federated learning, as well as ethical considerations, showcasing its immense potential for driving innovation while safeguarding sensitive data.Federated Learning: Theory and Practi ce provides a comprehensive and accessible introducti on to federated learning which is suitable for researchers and students in academia, and industrial practitioners who seek to leverage the latest advance in machine learning for their entrepreneurial endeavors. - Presents the fundamentals and a survey of key developments in the field of federated learning - Provides emerging, state-of-the art topics that build on fundamentals - Contains industry applications - Gives an overview of visions of the future
Pages
420 pages
Collection
n.c
Parution
2024-02-09
Marque
Academic Press
EAN papier
9780443190377
EAN PDF
9780443190384
Informations sur l'ebook
Nombre pages copiables
42
Nombre pages imprimables
42
Taille du fichier
12093 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
114,99 €
EAN EPUB SANS DRM
9780443190384
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
114,99 €

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