PySyft
PySyft is an open-source Python library for secure and private deep learning, enabling data scientists to perform machine learning on encrypted or remote data without exposing sensitive information. It implements federated learning, differential privacy, and secure multi-party computation techniques to allow model training across decentralized datasets. The library integrates with popular frameworks like PyTorch and TensorFlow to facilitate privacy-preserving AI applications.
Developers should learn PySyft when building machine learning systems that require data privacy, such as in healthcare, finance, or any domain with sensitive or regulated data. It is essential for implementing federated learning scenarios where data cannot be centralized due to legal or security constraints, enabling collaborative model training across multiple organizations or devices without sharing raw data.