Paper Info
Title
DisCOV: Distributed COVID-19 Detection on X-Ray Images With Edge-Cloud Collaboration
Abstract
Currently, the world is experiencing the rapid spread of Coronavirus Disease 2019 (COVID-19). Since the epidemic continues to take a devastating impact on the society, economy, and healthcare, the real-time detection of COVID-19 is essential for fast and cost-effective diagnosis services. Fortunately, deep learning (DL), as a promising technology, enables the COVID-19 diagnosis services on chest X-ray (CXR) images. The training task of DL model is generally implemented at the centralized cloud. However, due to the geo-distributed data sources and the transmission of large amounts of raw data to the centralized cloud, the transmission latency becomes a bottleneck of the COVID-19 diagnosis model training. In this paper, we propose a <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Dis</u> tributed <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">COV</u> ID-19 detection model training method on CXR images with edge-cloud collaboration, named DisCOV. Specifically, to improve the training efficiency and guarantee the model accuracy, a distributed lightweight model-based training algorithm is designed with the cooperation of edge computing and cloud computing. In addition, a resource allocation algorithm is developed during the training to jointly minimize the time cost and energy consumption. Extensive experiments based on real-world CXR image datasets demonstrate that DisCOV is better performed and more promising than the existing baselines.
Year
DOI
Venue
2022
10.1109/TSC.2022.3142265
IEEE Transactions on Services Computing
Keywords
DocType
Volume
COVID-19,deep learning,CXR image classification,edge computing,edge-cloud collaboration
Journal
15
Issue
ISSN
Citations 
3
1939-1374
5
PageRank 
References 
Authors
0.39
33
6
Name
Order
Citations
PageRank
Xu Xiaolong142464.23
Hao Tian251.07
Zhang Xuyun395269.49
Lianyong Qi461.75
Qiang He520121.72
Wanchun Dou687896.01