PySyft allows data scientists to perform machine learning on data that remains on remote servers without ever exposing or copying the underlying data. It implements federated learning, secure multi-party computation, and differential privacy techniques, enabling statistical analysis and deep learning while preserving data ownership. The library connects to Datasites - specialized servers implementing structured transparency principles - and supports running standard Python ML code across distributed data sources.