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Finalist ACM SRC 2020 @ase: 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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harshitadd/CrossPriv

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Version

This code is developed using PySyft 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 

Poster

Link - https://drive.google.com/file/d/1ONieD6-Qj2j54ozeLxRMcnBa6_mSHmjF/view?usp=sharing

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Finalist ACM SRC 2020 @ase: 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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