1
Set Up Federated Environment
Prepare the distributed devices or nodes where the federated learning will take place.
2
Integrate ML Workloads
Implement your machine learning models in your preferred framework and programming language, then integrate them with Flower.
3
Run Federated Training
Execute the federated learning process using Flower's framework to coordinate training across nodes.