PySyft
PySyft is an open-source framework developed by OpenMined that enables data scientists to perform analyses on sensitive data without compromising confidentiality. It facilitates remote data science by allowing researchers to run code on data stored in secure environments, ensuring that raw data is never exposed.
Features
PySyft supports various privacy-preserving techniques, including federated learning, differential privacy, and secure multi-party computation. These features enable collaborative data analysis while maintaining data privacy.
Categories
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