Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions

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Éditeur :

Springer

Paru le : 2025-11-07

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 comba...
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Éditeur

Collection
n.c

Parution
2025-11-07

Pages
259 pages

EAN papier
9789819513932

Dr. Abhishek Kumar is an Assistant Director and Professor in the Computer Science & Engineering Department at Chandigarh University, Punjab, India. He obtained his Ph.D. from the University of Madras and completed postdoctoral research at Universidad de Castilla-La Mancha, Spain. His research interests span artificial intelligence, renewable energy systems, image processing, and data mining. Dr. Priya Batta  is currently an Associate Professor at  Amity School of Engineering and Technology, Amity University, Punjab, India. She obtained her Ph.D. in Computer Science and Engineering from Chandigarh University. Her research area includes Artificial Intelligence, Blockchain, IoT. Dr. T. Ananth Kumar is working as a Associate Professor and Research Head at IFET college of Engineering(Autonomous),I ndia. He received his Ph.D. in VLSI Design from Manonmaniam Sundaranar University, Tirunelveli, India. His research interest are in the areas of Networks on Chips, Computer Architecture and ASIC design. Dr. S. Oswalt Manoj is working as a Professor in the Department of Computer Science and Engineering, Alliance School of Advanced Computing ,Alliance University, Bengaluru, India. He holds a Doctorate in Information Science and Engineering from Anna University, Chennai. His research areas include big data analytics, artificial intelligence, computer vision, machine learning, deep learning, and cloud computing.

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EAN PDF
9789819513949
Prix
210,99 €
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
15217 Ko
EAN EPUB
9789819513949
Prix
210,99 €
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
22518 Ko

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