PySyft is a Python library for secure, private Deep Learning. PySyft decouples private data from model training, using Multi-Party Computation (MPC) over PyTorch and tensorflow.
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See PySyft in Action
- Emulate remote PyTorch execution - This notebook demonstrates the tensor passing between workers, though both the workers live in the same environment.
- Emulate remote PyTorch execution using sockets: Server | Client - This notebook demonstrates the tensor passing and remote execution, with workers living in different environments.
Note: Run Server before Client
- Federated Learning - This notebook demonstrates the model training over distributed data (data belonging to multiple owners).
PySyft supports Python >= 3.6 and PyTorch 0.3.1
pip3 install <pytorch-version> torchvision pip3 install -r requirements.txt python3 setup.py install
Run Unit Tests
python3 setup.py test
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