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Beschreibung
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.
Details
| Verlag | Springer Singapore |
| Ersterscheinung | 09. November 2025 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 569 Gramm |
| Format | Hardcover |
| ISBN-13 | 9789819513932 |
| Seiten | 259 |
Schlagwörter
Artificial Intelligence, Bildverarbeitung, Blockchain, Data Mining, Data Mining and Knowledge Discovery, Datenbanken, Elektronik, Image Processing, Kryptografie - Verschlüsselungstechnologie, Künstliche Intelligenz, Machine Learning, Maschinelles Lernen, Security Science and Technology, Sicherheitssysteme und Brandmeldeanlagen, Wissensbasierte Systeme - Expertensysteme
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