FedCognis: An Adaptive Federated Learning Framework for Secure Anomaly Detection in Industrial IoT-Enabled Cognitive Cities

Abdulatif Alabdulatif · Computers, materials & continua/Computers, materials & continua (Print) · 2025

FedCognis is a secure and scalable federated learning framework designed for continuous anomaly detection in Industrial Internet of Things-enabled Cognitive Cities (IIoTCC). It introduces two key innovations: a Quantum Secure... | Find, read and cite all the research you need on Tech Science Press

Read the paper · More papers on PaperTik