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A preprint version of our paper: Link here
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This is a sample code of our LDP-DL paper, including all the necessary implementations: 1) DataPartation.py: split the data for data owners and data user; 2) TeacherModel.py: train the teacher models using data owners' private data; 3) StudentModel_AQS.py: train the student model via active query sampling and knowledge distillation using data user's public data.
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The splited data and trained teacher models are also provided. Due to the limitation of capacity, please download from this link:
- Pytorch 1.4.0, numpy 1.18.1, scipy 1.4.1, cuda 10.0, joblib 0.14.1
- Download or clone the whole repository.
- Import our code as a project into PyCharm.
- Run DataPartation.py to split the data.
- Run TeacherModel.py to train teacher models.
- Run StudentModle_AQS.py to train and evaluate student model.
Contact info: zhuangdi1990@gmail.com, mingchenli1992@gmail.com