Federated learning

Federated learning allows for multiple clients each with their own data to collaborate on training together without having to share their actual data. The NVIDIA Federated Learning system has been enhanced to be generalizable to contexts outside of Clara as well, and more documentation and information on how that can be used will be linked soon. The functionality of federated learning in Clara 4.0 is mostly similar to how it was back in Clara 3.1 with the same provisioning, starting, and operating process, but with some changes to some configurations.

• Federated learning user guide
• Federated learning provisioning tool
• Federated learning configuration details
• Federated learning authorization
• Federated learning administrator commands
• Bring your own components for federated learning
• Federated learning FAQ