Fedn

What's new?

- Support for latest Minio
- Improvements i UI - now not possible to submit jobs is in monitoring state.
- Improvement of Docker image hierarchy.

Other:
- Docs updates
- Several bugfixes and security patches.

What's new?
- The MNIST examples (Keras and PyTorch) have been updated so that they now bundle the example data in .npz format.

Other
- Docs updates

What's new?

- It is now possible to choose which validation metrics to plot in the Dashboard

Fixes

- Plots backed by no current data is no longer shown as empty plots.

Other
- Docs updates

What's new?

- It's now possible to have examples in external repositories
- Support for models constructed with the Keras Functional API
- Set maximum number of clients in the settings file

yaml
combiner:
name:
combinerhost:
combinerport: 12080
max_clients: 50


- Added visualizations on FEDn communication performance to the dashboard
- Added client allocation policy to spread the clients evenly over the combiners
- Use config for s3 model commits instead of a hard-coded bucket name
- Memory management to prevent combiners from going off
- Now possible to upload the compute package through the UI
- Reducer, client and combiner now have their own Dockerfile definitions

Fixes

- Combiners now handle the case when all clients fail to update a model

Other

- Lots of product documentation updates

- Fixed volume path to prevent combiner crashes from writing every temporary model to RAM memory, and hitting RAM max memory limit.

- Resolves a bug in the calculation of the average in the combiner which would be affecting smaller models and a few client cases