Fedn

What's new?
- The examples previously residing in 'test' have been refactored into a separate repository: https://github.com/scaleoutsystems/examples
- Docker-compose templates for Minio upgraded to support latest version

Other
- Documentation updated
- Introduce Discord community server
- Updated dependency to conform with new minio versions.

What's new?
- Introduced a new events view.
- Introduced a new view for viewing network layout, (reducer, combiner and clients hierarchy)
- Introduced a new setup guide-phase to ensure prereqs like package and model are set before starting execution.
- Introduced a better form for parameter selection on run configuration.
- Introduced async dispatching of run configurations.
- Introduced async update refresh of several important fields for user convenincence like status, events, network hierarchy etc.
- Introduced a new download-client-config function to allow for faster and more convenient client configuration.
(Just download config and point your local client and whoallah! You are online in this federation.)

Other
- Fixed logic bugs related to framework persistance.
- Fixed a logic bug causing clients to get assigned prior to compute package assignment (and hence will not account for assignment policy).
- Fixed a logic bug if reducer is resumed from previous state (to ensure) that the right compute package is selected.
- Update dependency versions.

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