FEDn is starting up

Follow these steps to get off to a flying start 🚀

  1. Create and upload a compute package and seed model Mnist-pytorch example here
  2. Connect a client
  3. Create a session
  4. Start training

For more information, see the documentation

Release v0.11.0

Studio

2024-06-14 07:35:34

A new version of FEDn Studio is out! This time our focus was to make the data generated during the training sessions more accessible to the users. We created some relevant graphs of how the network and its clients are performing. For a demonstration you can check out this video:



Another improvement we’ve made is to integrate a guide of the FEDn APIClient into FEDn Studio. This will make it easier for users to connect and make use of the APIClient together with their projects. To watch a demonstration of how to get started with this, please watch this video: