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Secure blockchain integrated deep learning framework for federated risk-adaptive and privacy-preserving IoT edge intelligence sets

Abstract An enormous demand for a secure, scalable, intelligent edge computing framework has emerged for the exponentially increasing number of Internet of Things (IoT) devices for any substrate of modern digital infrastructure. These edge nodes distributed across heterogeneous environments serve as...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: K. Swathi, Putta Durga, K. Venkata Prasad, Atmakuri Krishna Chaitanya, Kuraganti Santhi, P. Vidyullatha, S. Venkata Achuta Rao
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2025-11-01
Schriftenreihe:Scientific Reports
Schlagworte:
Blockchain
Edge computing
Federated learning
Adversarial robustness
Model provenance
Process
Online-Zugang:https://doi.org/10.1038/s41598-025-24895-8
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