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Efficient Privacy Preserving Edge Computing Framework for Image Classification

The proposed framework is for image classification in edge computing systems. It uses autoencoders to extract critical features from the data and then trains a classifier on the extracted features.

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Cite this as

Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian (2024). Dataset: Efficient Privacy Preserving Edge Computing Framework for Image Classification. https://doi.org/10.57702/c24wzhmw

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2005.04563
Author Omobayode Fagbohungbe
More Authors
Sheikh Rufsan Reza
Xishuang Dong
Lijun Qian
Homepage https://ieeexplore.ieee.org/document/9367747