A Survey on Deep Transfer Learning to Edge Computing for Mitigating the
COVID-19 Pandemic
Abstract
Highlights of the article are:
• Presented a systematic study of Deep Learning (DL), Deep Transfer
Learning (DTL) and Edge Computing(EC) to mitigate COVID-19.
• Surveyed on existing DL, DTL, EC, and Dataset to mitigate pandemics
with potentialities and challenges.
• Drawn a precedent pipeline model of DTL over EC for a future scope to
mitigate any outbreaks.
• Given brief analyses and challenges wherever relevant in perspective
of COVID-19.
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