XAIN Federated Learning¶
XAIN provides privacy-preserving technology dedicated to keep the data used for the training of AI projects private. Our privacy engine for machine learning is compliant with data privacy regulations such as GDPR and CCPA. It offers a simple and scalable multi-party computation based on federated learning that reflects technical and regulatory needs of commercial AI projects.
Resources¶
The platform backend is written in Rust. The
xain-fl
crate is published on crates.io and documentation is available on docs.rsWe provide a Python SDK to write Federated Learning participants in Python. The package can be found is published on pypi.org and the documentation is hosted on readthedocs.io