diff --git a/examples/federated_learning/surface_defect_detection_mindspore/interface.py b/examples/federated_learning/surface_defect_detection_mindspore/interface.py
index ed84a61d0..55708ed71 100644
--- a/examples/federated_learning/surface_defect_detection_mindspore/interface.py
+++ b/examples/federated_learning/surface_defect_detection_mindspore/interface.py
@@ -35,7 +35,7 @@
 s3_transmitter = FederatedLearningV2.get_transmitter_from_config()
 
 class SddDataset():
-    def __init__(self, x, y) -> None:
+    def __init__(self, x, y):
         self.labels = y
         self.images = x
         self.index = 0
@@ -54,7 +54,7 @@ def __next__(self):
 
     
 class myDataset:
-    def __init__(self, trainset=None, testset=None) -> None:
+    def __init__(self, trainset=None, testset=None):
         self.customized = True
         transform = [
             c_vision.Resize((128, 128)),
@@ -107,7 +107,7 @@ def construct(self, x):
         return x
 
 class Estimator:
-    def __init__(self) -> None:
+    def __init__(self):
         self.model = SddModel()
         self.pretrained = None
         self.saved = None
diff --git a/examples/federated_learning/surface_defect_detection_pytorch/interface.py b/examples/federated_learning/surface_defect_detection_pytorch/interface.py
index 2c961646d..ed42d913e 100644
--- a/examples/federated_learning/surface_defect_detection_pytorch/interface.py
+++ b/examples/federated_learning/surface_defect_detection_pytorch/interface.py
@@ -35,7 +35,7 @@
 s3_transmitter = FederatedLearningV2.get_transmitter_from_config()
 
 class SddDataset(Dataset):
-    def __init__(self, x, y) -> None:
+    def __init__(self, x, y):
         self.images = x
         self.labels = y
     
@@ -46,13 +46,13 @@ def __getitem__(self, index):
         return self.images[index], self.labels[index]
     
 class myDataset:
-    def __init__(self, trainset=None, testset=None) -> None:
+    def __init__(self, trainset=None, testset=None):
         self.customized = True
         self.trainset = SddDataset(trainset[0], trainset[1])
         self.testset = SddDataset(testset[0], testset[1])
 
 class Estimator:
-    def __init__(self) -> None:
+    def __init__(self):
         self.model = self.build()
         self.pretrained = None
         self.saved = None
diff --git a/examples/federated_learning/surface_defect_detection_tensorflow/interface.py b/examples/federated_learning/surface_defect_detection_tensorflow/interface.py
index 3248ce933..af0eaa7b6 100644
--- a/examples/federated_learning/surface_defect_detection_tensorflow/interface.py
+++ b/examples/federated_learning/surface_defect_detection_tensorflow/interface.py
@@ -36,7 +36,7 @@
 
 
 class Dataset:
-    def __init__(self, trainset=None, testset=None) -> None:
+    def __init__(self, trainset=None, testset=None):
         self.customized = True
         self.trainset = tf.data.Dataset.from_tensor_slices((trainset.x, trainset.y))
         self.trainset = self.trainset.batch(int(Context.get_parameters("batch_size", 32)))
@@ -44,7 +44,7 @@ def __init__(self, trainset=None, testset=None) -> None:
         self.testset = self.testset.batch(int(Context.get_parameters("batch_size", 32)))
 
 class Estimator:
-    def __init__(self) -> None:
+    def __init__(self):
         self.model = self.build()
         self.pretrained = None
         self.saved = None