A lightweight deep learning approach for COVID-19 detection using X-ray images with edge federation
Sohaib Bin Khalid Alvi,
Muhammad Ziad Nayyer,
Muhammad Hasan Jamal
et al.
Abstract:Objective This study aims to develop a lightweight convolutional neural network-based edge federated learning architecture for COVID-19 detection using X-ray images, aiming to minimize computational cost, latency, and bandwidth requirements while preserving patient privacy. Method The proposed method uses an edge federated learning architecture to optimize task allocation and execution. Unlike in traditional edge networks where requests from fixed nodes are handled by nearby edge devices or remote clouds, the … Show more
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