Efficient Privacy Preserving Edge Computing Framework for Image Classification

10 May 2020Omobayode FagbohungbeSheikh Rufsan RezaXishuang DongLijun Qian

In order to extract knowledge from the large data collected by edge devices, traditional cloud based approach that requires data upload may not be feasible due to communication bandwidth limitation as well as privacy and security concerns of end users. To address these challenges, a novel privacy preserving edge computing framework is proposed in this paper for image classification... (read more)

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