diff --git a/openfl-tutorials/experimental/workflow/CrowdGuard/readme.md b/openfl-tutorials/experimental/workflow/CrowdGuard/readme.md
index 8cada70c74..2d87f53376 100644
--- a/openfl-tutorials/experimental/workflow/CrowdGuard/readme.md
+++ b/openfl-tutorials/experimental/workflow/CrowdGuard/readme.md
@@ -30,7 +30,7 @@ The demo script requires a dedicated allocation of at least 18GB of RAM to run w
 python -m venv venv
 source venv/bin/activate
 ```
-2) Install OpenFL from PyPi
+2) Install the latest stable OpenFL package
 ```shell
 pip install -U openfl
 ```
@@ -38,8 +38,8 @@ pip install -U openfl
 ```shell
 pip install -r workflow_interface_requirements.txt
 ```
-4) Start the training script
-Note: you can adjust the number of training rounds via the `--comm_round` parameter, with 5 yielding a reasonable execution time on CPU
+4) Start the training script<br/>
+Note that the number of training rounds can be adjusted via the `--comm_round` parameter:
 ```shell
 python cifar10_crowdguard.py --comm_round 5
 ```
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