Release v0.3.0 - November 2022 · Azure-Samples/azure-ml-federated-learning

November 2022 release

We are excited to announce the release of the November iteration of our FL Accelerator repository.

Here below we list all the new features. The most significant ones are the addition of 3 industry-relevant examples (credit card fraud detection, named entity recognition, pneumonia detection), and the introduction of a Troubleshooting Guide.

Added 3 industry-relevant examples. The examples include 2 jobs. The first one (generic) downloads some public data, partitions them, and uploads them to the silos. The second job (example-specific) trains a model using FL. The 3 examples address the following topics:
- credit card fraud detection (finance example);
- named entity recognition (NLP example);
- pneumonia detection (medical imaging example).
Fixed a bug causing the contents of the config.json file to take precedence over the CLI arguments (subscription id, resource group, workspace name) when submitting a job. Now, the CLI arguments takes precedence over the config.yaml file, which itself takes precedence over the config.json file.

Introduced a new Troubleshooting Guide to help you troubleshoot common issues. We will keep adding to it as we become aware of more common issues.

Improved the documentation home page by adding some pictures and introducing the industry-relevant examples.
Revisited our CI/CD processes for better agility (enable concurrent jobs, accommodate token expiration issue).

To get started, go here!

If you find a bug or have a feature request, please open an issue on the GitHub repository.