Openfl

[Full Release Notes](https://github.com/securefederatedai/openfl/releases/tag/v1.3)

The OpenFL v1.3 release contains the following updates:

* [Task Assigner functionality](https://github.com/intel/openfl/pull/343)
* [OpenFL + Gramine to support workloads within SGX](https://github.com/intel/openfl/pull/339)
* [FedCurv aggregation](https://github.com/intel/openfl/pull/167) algorithm
* [HuggingFace/transformers audio classification example using SUPERB dataset](https://github.com/intel/openfl/pull/340)
* [PyTorch Lightning GAN](https://github.com/intel/openfl/pull/287) example
* NumPy Linear Regression example in [Google Colab](https://github.com/intel/openfl/pull/286)
* [Adaptive Federated Optimization ](https://github.com/intel/openfl/issues/281) algorithms implementation: `FedYogi`, `FedAdagrad`, `FedAdam`
* [MXNet landmarks regression example](https://github.com/intel/openfl/pull/349) as a custom plugin to OpenFL
* Migration to [JupyterLab](https://github.com/intel/openfl/pull/307)
* Bug fixes and other improvements

[Full Release Notes](https://github.com/securefederatedai/openfl/releases/tag/v1.2)

The OpenFL v1.2 release contains the following updates:

- Long-living entities: [Director/Envoy](https://github.com/intel/openfl/issues/120) for supporting multiple experiments within the same `Federation`
- [Scalable PKI](https://github.com/intel/openfl/issues/38): semi-automatic mechanism for certificates distribution via step-ca
- Examples with new Interactive API + Director/Envoy: [TensorFlow Next Word Prediction](https://github.com/intel/openfl/pull/183), [PyTorch Re-ID on Market](https://github.com/intel/openfl/pull/156), [PyTorch MobileNet v2 on TinyImageNet](https://github.com/intel/openfl/pull/170)
- [3D U-Net TensorFlow workspace for BraTS 2020 for CLI-based workflow](https://github.com/intel/openfl/pull/108)
- `AggregationFunction` interface for custom aggregation functions in new Interactive API
- Autocomplete of `fx` CLI
- Bug fixes and documentation improvements

1.1
[Full Release Notes](https://github.com/securefederatedai/openfl/releases/tag/v1.1)

The OpenFL v1.1 release contains the following updates:

- New [Interactive Python API](https://github.com/securefederatedai/openfl/tree/main/openfl-tutorials/deprecated/interactive_api) (experimental)
- Example FedProx algorithm implementation for PyTorch and Tensorflow
- `AggregationFunctionInterface` for custom aggregation functions
- Adds a [Keras-based NLP Example](https://github.com/intel/openfl/tree/develop/openfl-workspace/keras/nlp)
- Fixed lossy compression pipelines and added an [example](https://github.com/intel/openfl/tree/develop/openfl-workspace/keras_cnn_with_compression) for usage
- Bug fixes and documentation improvements

1.0.1
[Full Release Notes](https://github.com/securefederatedai/openfl/releases/tag/v1.0.1)

- New docker CI tests
- New Pytorch UNet Kvasir tutorial
- Cleanup / fixes to other OpenFL tutorials
- Fixed description for Pypi
- Status/documentation/community badges for README.md

1.0
[Full Release Notes](https://github.com/securefederatedai/openfl/releases/tag/v1.0.1)

This release includes:
- The official open source release of OpenFL
- Tensorflow 2.0 and PyTorch support
- Examples for classification, segmentation, and adversarial training
- No-install Docker and Singularity* deployments
- Python native API intended for single node federated learning experiments
- `fx` CLI for multi-node production deployments
- Additional test coverage for OpenFL components

<!-- * Singularity supported via DockerHub integration: `singularity shell docker://openfl:latest` -->