The official Syft worker for secure on-device machine learning
This is the initial release candidate of Syft 0.5.0, which returns feature parity back to our FL worker libraries.
Support for better error handling along with namespace changes
KotlinSyft makes it easy for you to train and inference PySyft models on Android devices. This allows you to utilize training data located directly on the device itself, bypassing the need to send a user's data to a central server. This is known as federated learning.
This is a base release tag to setup the project. Nothing to use here yet.