Hardcover. Zustand: new. Hardcover. Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA.Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications enables training AI models on a large number of decentralized devices or servers, making it a scalable and efficient solution. It also allows organizations to create more versatile AI models by training them on data from diverse sources or domains. This approach can unlock innovative use cases in fields like healthcare, finance, and IoT, where data privacy is paramount.The book is designed for researchers working in Intelligent Federated Learning and its related applications, as well as technology development, and is also of interest to academicians, data scientists, industrial professionals, researchers, and students. Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verk�ufers 9781032771649

Verk�ufer kontaktieren

Neu kaufen

EUR 195,37

W�hrung umrechnen

Versand: Gratis

Innerhalb der USA

Versandziele, Kosten & Dauer

Anzahl: 1 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Artificial Intelligence Using Federated Learning

Ahmed A Elngar

Verlag: CRC Press, 2024

ISBN 10: 103277164X ISBN 13: 9781032771649

Neu Hardcover

Print-on-Demand

Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes K�nigreich

Verk�uferbewertung 4 von 5 Sternen

HRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verk�ufers L1-9781032771649

Verk�ufer kontaktieren

Neu kaufen

EUR 191,73

W�hrung umrechnen

Versand: EUR 4,92

Von Vereinigtes K�nigreich nach USA

Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Artificial Intelligence Using Federated Learning: Fundamentals, Challenges and Applications

Elngar, Ahmed A. (Editor)/ Oliva, Diego (Editor)/ Balas, Valentina E. (Editor)

Verlag: CRC Pr I Llc, 2024

ISBN 10: 103277164X ISBN 13: 9781032771649

Neu Hardcover

Print-on-Demand

Anbieter: Revaluation Books, Exeter, Vereinigtes K�nigreich

Verk�uferbewertung 5 von 5 Sternen

Hardcover. Zustand: Brand New. 344 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand. Bestandsnummer des Verk�ufers __103277164X

Verk�ufer kontaktieren

Neu kaufen

EUR 185,57

W�hrung umrechnen

Versand: EUR 11,82

Von Vereinigtes K�nigreich nach USA

Versandziele, Kosten & Dauer

Anzahl: 1 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Artificial Intelligence Using Federated Learning

Ahmed A Elngar

Verlag: CRC Press, 2024

ISBN 10: 103277164X ISBN 13: 9781032771649

Neu Hardcover

Print-on-Demand

Anbieter: PBShop.store US, Wood Dale, IL, USA

Verk�uferbewertung 5 von 5 Sternen

HRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verk�ufers L1-9781032771649

Verk�ufer kontaktieren