fix(examples) Update flwr version for XGBoost quickstart example an…

…d add `libomp` command for MacOSX (#4740)
adap · Dec 18, 2024 · eac7696 · eac7696
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diff --git a/examples/xgboost-quickstart/README.md b/examples/xgboost-quickstart/README.md
@@ -46,6 +46,9 @@ Install the dependencies defined in `pyproject.toml` as well as the `xgboost_qui
 pip install -e .
 ```
 
+> \[!NOTE\]
+> For MacOSX users, you may need to additionally run `brew install libomp` to install OpenMP runtime.
+
 ## Run the project
 
 You can run your Flower project in both _simulation_ and _deployment_ mode without making changes to the code. If you are starting with Flower, we recommend you using the _simulation_ mode as it requires fewer components to be launched manually. By default, `flwr run` will make use of the Simulation Engine.

diff --git a/examples/xgboost-quickstart/pyproject.toml b/examples/xgboost-quickstart/pyproject.toml
@@ -8,8 +8,8 @@ version = "1.0.0"
 description = "Federated Learning with XGBoost and Flower (Quickstart Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr-nightly[simulation]==1.11.0.dev20240826",
-    "flwr-datasets>=0.3.0",
+    "flwr[simulation]>=1.13.1",
+    "flwr-datasets>=0.4.0",
     "xgboost>=2.0.0",
 ]