Blockchain and Federated Learning Synergy for Privacy-focused Deepfex Solutions - Couverture rigide

9789819513932: Blockchain and Federated Learning Synergy for Privacy-focused Deepfex Solutions

Couverture rigide

ISBN 10 : 9819513936 ISBN 13 : 9789819513932

Editeur : Springer Verlag, Singapore, 2025

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This book highlights the transformative synergy between Blockchain and Federated Learning in developing privacy-focused solutions for DeepFex. By leveraging the decentralized nature of blockchain alongside the privacy-preserving capabilities of federated learning, it offers a novel approach to combating the growing challenges of deepfake technology. The integration of these two cutting-edge technologies ensures data security, model integrity, and transparent collaboration, making it possible to detect and mitigate deepfakes in a scalable, ethical, and decentralized manner.

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�diteur: Springer Verlag, Singapore
Date d'�dition: 2025
Langue: anglais
ISBN 10: 9819513936
ISBN 13: 9789819513932
Reliure: Reli�
Nombre de pages: 267
�diteur: Kumar Abhishek, Batta Dr. Priya, Kumar T. Ananth, Manoj S. Oswalt
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Blockchain and Federated Learning Synergy for Privacy Focused DeepFex Solutions (eng)

Kumar, Abhishek

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ISBN 10 : 9819513936 ISBN 13 : 9789819513932

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Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions

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Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions (Hardcover)

Abhishek Kumar

Edit� par Springer Verlag, Singapore, Singapore, 2025

ISBN 10 : 9819513936 ISBN 13 : 9789819513932

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Hardcover. Etat : new. Hardcover. This book highlights the transformative synergy between Blockchain and Federated Learning in developing privacy-focused solutions for DeepFex. By leveraging the decentralized nature of blockchain alongside the privacy-preserving capabilities of federated learning, it offers a novel approach to combating the growing challenges of deepfake technology. The integration of these two cutting-edge technologies ensures data security, model integrity, and transparent collaboration, making it possible to detect and mitigate deepfakes in a scalable, ethical, and decentralized manner. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9789819513932

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Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions

Kumar, Abhishek (Edited by)/ Batta, Dr. Priya (Edited by)/ Kumar, T. Ananth (Edited by)/ Manoj, S. Oswalt (Edited by)

Edit� par Springer, 2025

ISBN 10 : 9819513936 ISBN 13 : 9789819513932

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Vendeur : Revaluation Books, Exeter, Royaume-Uni

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Hardcover. Etat : Brand New. 350 pages. 9.26x6.11 inches. In Stock. N� de r�f. du vendeur __9819513936

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Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions

Abhishek Kumar

Edit� par Springer-Verlag Gmbh Nov 2025, 2025

ISBN 10 : 9819513936 ISBN 13 : 9789819513932

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book highlights the transformative synergy between Blockchain and Federated Learning in developing privacy-focused solutions for DeepFex. By leveraging the decentralized nature of blockchain alongside the privacy-preserving capabilities of federated learning, it offers a novel approach to combating the growing challenges of deepfake technology. The integration of these two cutting-edge technologies ensures data security, model integrity, and transparent collaboration, making it possible to detect and mitigate deepfakes in a scalable, ethical, and decentralized manner. 259 pp. Englisch. N� de r�f. du vendeur 9789819513932

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Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions (Hardcover)

Abhishek Kumar

Edit� par Springer Verlag, Singapore, Singapore, 2025

ISBN 10 : 9819513936 ISBN 13 : 9789819513932

Neuf Couverture rigide

Vendeur : CitiRetail, Stevenage, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Hardcover. Etat : new. Hardcover. This book highlights the transformative synergy between Blockchain and Federated Learning in developing privacy-focused solutions for DeepFex. By leveraging the decentralized nature of blockchain alongside the privacy-preserving capabilities of federated learning, it offers a novel approach to combating the growing challenges of deepfake technology. The integration of these two cutting-edge technologies ensures data security, model integrity, and transparent collaboration, making it possible to detect and mitigate deepfakes in a scalable, ethical, and decentralized manner. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9789819513932

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Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions

Abhishek Kumar

Edit� par Springer, Palgrave Macmillan Nov 2025, 2025

ISBN 10 : 9819513936 ISBN 13 : 9789819513932

Neuf Couverture rigide

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book highlights the transformative synergy between Blockchain and Federated Learning in developing privacy-focused solutions for DeepFex. By leveraging the decentralized nature of blockchain alongside the privacy-preserving capabilities of federated learning, it offers a novel approach to combating the growing challenges of deepfake technology. The integration of these two cutting-edge technologies ensures data security, model integrity, and transparent collaboration, making it possible to detect and mitigate deepfakes in a scalable, ethical, and decentralized manner.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 268 pp. Englisch. N� de r�f. du vendeur 9789819513932

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Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions

Abhishek Kumar

Edit� par Springer-Verlag Gmbh, 2025

ISBN 10 : 9819513936 ISBN 13 : 9789819513932

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights the transformative synergy between Blockchain and Federated Learning in developing privacy-focused solutions for DeepFex. By leveraging the decentralized nature of blockchain alongside the privacy-preserving capabilities of federated learning, it offers a novel approach to combating the growing challenges of deepfake technology. The integration of these two cutting-edge technologies ensures data security, model integrity, and transparent collaboration, making it possible to detect and mitigate deepfakes in a scalable, ethical, and decentralized manner. N� de r�f. du vendeur 9789819513932

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