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[null,"1.","Record Nr.",null,"UNINA9911047707503321"]
[null,null,"Autore",null,"Kumar Abhishek"]
[null,null,"Titolo",null,"Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions / / edited by Abhishek Kumar, Dr. Priya Batta, T. Ananth Kumar, S. Oswalt Manoj"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026"]
[null,null,"ISBN",null,"981-9513-94-4"]
[null,null,"Edizione",null,"[1st ed. 2026.]"]
[null,null,"Descrizione fisica",null,"1 online resource (303 pages)"]
[null,null,"Collana",null,"Blockchain Technologies, , 2661-8346"]
[null,null,"Disciplina",null,"005.824"]
[{"$nulls":4},"005.74"]
[null,null,"Soggetti",null,"Blockchains (Databases)"]
[{"$nulls":4},"Security systems"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Image processing"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Blockchain"]
[{"$nulls":4},"Security Science and Technology"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Image Processing"]
[{"$nulls":4},"Machine Learning"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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."]
[null,null,null,"Sommario/riassunto","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 "]
[{"$nulls":4},"technologies ensures data security, model integrity, and transparent collaboration, making it possible to detect and mitigate deepfakes in a scalable, ethical, and decentralized manner."]