diff --git a/use_case_examples/federated_learning/README.md b/use_case_examples/federated_learning/README.md
index 9eda992b6..474e530bc 100644
--- a/use_case_examples/federated_learning/README.md
+++ b/use_case_examples/federated_learning/README.md
@@ -6,7 +6,7 @@ This example is inspired from the [flower blog post on LogisticRegression traini
 
 ## Setup
 
-To run this example you will need to have `concrete-ml` installed as well as the extra requirements from `requirements.txt`, using `python -m pip install -r requirements.txt`.
+To run this example you will need to install the requirements from `requirements.txt`, using `python -m pip install -r requirements.txt`.
 If you are using macOS with arm then you might need to launch the `./fix_grpc.sh` script for fix the `grpcio` package installation.
 
 ## Train the model
diff --git a/use_case_examples/federated_learning/requirements.txt b/use_case_examples/federated_learning/requirements.txt
index 0c7e2344a..6aeb787df 100644
--- a/use_case_examples/federated_learning/requirements.txt
+++ b/use_case_examples/federated_learning/requirements.txt
@@ -1,4 +1,3 @@
 flwr~=1.4.0
-numpy~=1.22.4
 openml~=0.13.1
-scikit_learn~=1.2.2
+concrete-ml