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This repository contains our work submitted under the ACM Student Research Competition of The 35th IEEE/ACM International Conference on Automated Software Engineering. The published short paper will be linked shortly.

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kinetickansra/CrossPriv

 
 

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Version

This code is developed using PySyf v0.2.6. 
PySyft's most recent release (v0.2.8) is no longer compatible with Python 3.6> and hence some functionality might break when used with its most recent version.

Data

The data used in demonstrating this work can be found at: https://www.kaggle.com/c/rsna-pneumonia-detection-challenge

Tutorial - For making a custom federated data loader with the DICOM Images

https://github.com/OpenMined/PySyft/blob/master/examples/tutorials/advanced/Federated%20Dataset.ipynb

Note - In CrossPriv.ipynb the data has been streamed via a personal gdrive link; The streaming platform ( or the data upload format ) is the user's prerogative and the flow of the code will be affected accordinngly. 

Hardware

12GB NVIDIA Tesla K80 

About

This repository contains our work submitted under the ACM Student Research Competition of The 35th IEEE/ACM International Conference on Automated Software Engineering. The published short paper will be linked shortly.

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