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Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions

Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex ...

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.

November 2025, ca. 254 Seiten, Blockchain Technologies, Englisch
Springer EN
978-981-9513-93-2

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