Tutorials

Feder allows you to do federated learning in real time on various supported edge devices, including intel cpus, nvidia gpus, raspberry pi, nvidia jetson. Feder provides modular tools and standard algorithms to simplify federated learning implementation in real time using gRPC framework.

• Running the Server and Clients
  • Starting the Server
  • Starting the Clients
• Federated Learning Algorithms
  • Adding a new algorithm to Feder
• Datasets
  • Adding support for new datasets
• Models
  • Adding support for a new model
• Data Distribution
  • Visualizing the non-IID data distribution for MNIST dataset
• Carbon Emissions