Creating Privacy Preserving AI with Substra

Substra has released a framework aimed at enabling privacy-preserving AI through federated learning and secure multi-party computation. The platform supports the training of machine learning models without sharing raw data, ensuring data privacy while allowing collaboration across different entities. This is particularly relevant for practitioners focused on developing AI solutions that comply with data protection regulations while leveraging distributed data sources for model training.