- Neu
Kumar / Batta / Manoj Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions
Erscheinungsjahr 2025
ISBN: 978-981-951394-9
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 259 Seiten
Reihe: Blockchain Technologies
ISBN: 978-981-951394-9
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Introduction.- DeepFex: Detecting Deepfakes in the Digital Age.- Blockchain Technology Overview.- Federated Learning Basics.- Integrating Blockchain with Federated Learning.- Privacy and Security in DeepFex Solutions.- Real-World Applications and Use Cases.- Challenges, Ethics, and Regulatory Perspectives.- Future Directions.- Conclusion.




