diff --git a/examples/quickstart-huggingface/client.py b/examples/quickstart-huggingface/client.py
index 5fa10b9ca0f2..85792df43e53 100644
--- a/examples/quickstart-huggingface/client.py
+++ b/examples/quickstart-huggingface/client.py
@@ -119,7 +119,7 @@ def evaluate(self, parameters, config):
         required=True,
         type=int,
         help="Partition of the dataset divided into 1,000 iid partitions created "
-             "artificially.",
+        "artificially.",
     )
     node_id = parser.parse_args().node_id
     main(node_id)
diff --git a/examples/vertical-fl/README.md b/examples/vertical-fl/README.md
index d5ab0ab9c30d..78588180d3d6 100644
--- a/examples/vertical-fl/README.md
+++ b/examples/vertical-fl/README.md
@@ -295,7 +295,7 @@ class ServerModel(nn.Module):
 
 It comprises a single linear layer that accepts the concatenated outputs from
 all client models as its input. The number of inputs to this layer equals the
-total number of outputs from the client models ( $3 \times 4 = 12$ ). After processing
+total number of outputs from the client models (3 x 4 = 12). After processing
 these inputs, the linear layer's output is passed through a sigmoid activation
 function (`nn.Sigmoid()`), which maps the result to a `(0, 1)` range, providing
 a probability score indicative of the likelihood of survival.