Adding OpenFL 1.7 release notes

Signed-off-by: Teodor Parvanov <[email protected]>

docs/releases.md

@@ -1,5 +1,26 @@
 # Releases
 
+## 1.7
+[Full Release Notes](https://github.com/securefederatedai/openfl/releases/tag/v1.7)
+
+### New Features
+- [**FederatedRuntime**](https://openfl.readthedocs.io/en/latest/about/features_index/workflowinterface.html#runtimes-future-plans) for Workflow API: enables a seamless transition from a local simulation (via LocalRuntime) to a distributed Federated Learning deployment. Check out the [FederatedRuntime 101 Tutorial](https://github.com/securefederatedai/openfl/tree/develop/openfl-tutorials/experimental/workflow/FederatedRuntime/101_MNIST) to try it yourself.
+
+- [**Federated XGBoost**](https://github.com/securefederatedai/openfl/tree/develop/openfl-workspace/xgb_higgs): Adding support for XGBoost in OpenFL via TaskRunner API, illustrated with the Higgs dataset.
+
+- [**Callbacks**](https://openfl.readthedocs.io/en/latest/openfl.callbacks.html): An abstraction for running user-defined actions in TaskRunner API or Workflow API. Callbacks can be used to perform custom actions at different stages of the Federated Learning process.
+
+### Enhanced Developer Experience
+- **Streamlining OpenFL APIs**: As of this release, the OpenFL Team will focus on TaskRunner API and Workflow API. As such, the Python Native API and Interactive API have been deprecated, slated for removal in upcoming releases.
+
+- **Updated Tutorials**: This includes fixes to existing tutorial and example code, and migrating a selection of key OpenFL tutorials from deprecated APIs to Workflow API. Check out the updated [Tutorials](https://github.com/securefederatedai/openfl/tree/develop/openfl-tutorials/experimental/workflow) folder.
+
+- **FL Workspace Dockerization**: Revised Task Runner API workspace dockerization process, with TEE-ready containers (using Gramine and Intel® Software Guard Extensions). Follow the [updated instructions](https://github.com/securefederatedai/openfl/blob/develop/openfl-docker/README.md) to enhance the privacy and security of your FL experiments.
+
+- **Federated Evaluation via TaskRunner API**: OpenFL 1.7 simplifies the creation of Federated Evaluation experiments via the TaskRunner API (see the [example workspace](https://github.com/securefederatedai/openfl/tree/develop/openfl-workspace/torch_cnn_mnist_fed_eval)).
+
+- **Keras 3**: Upgrading the base TaskRunner classes and example workspaces to Keras 3 for building state-of-the-art TensorFlow-based FL experiments
+
 ## 1.6
 [Full Release Notes](https://github.com/securefederatedai/openfl/releases/tag/v1.6)