You're currently viewing an old version of this dataset. To see the current version, click here.

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.

Data and Resources

This dataset has no data

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

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
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