Tutorials for MLOps
FedML MLOps Platform simplifies the workflow of federated learning anywhere at any scale. It enables zero-code, lightweight, cross-platform, and provably secure federated learning. It enables machine learning from decentralized data at various users/silos/edge nodes, without the need to centralize any data to the cloud, hence providing maximum privacy and efficiency.
The above figure shows the workflow. Such a workflow is handled by web UI without the need to handle complex deployment. Check the following live demo for details:
Researchers/engineers from anywhere on the earth can build a group to train models collaboratively. Please check the video above to see how easy and funny four persons in different cities in the world (Dallas, USA; Tokyo, Japan; Los Angeles, USA) do machine learning socially, privately, and collaboratively.
More documentation is under preparation. As for now, please visit http://open.fedml.ai to try the live demo of our platform (username: admin; passwords: admin0000). Feedback welcomed!