diff --git a/modin/pandas/base.py b/modin/pandas/base.py
index 12e972e9480..c0128ba2c69 100644
--- a/modin/pandas/base.py
+++ b/modin/pandas/base.py
@@ -656,11 +656,6 @@ def aggregate(self, func=None, axis=0, *args, **kwargs):  # noqa: PR01, RT01, D2
         """
         axis = self._get_axis_number(axis)
 
-        # if func is None, will switch to user-provided "named aggregation" kwargs
-        # if func is None:
-        #    func = dict(kwargs.items())
-        #    kwargs = {}
-
         result = None
 
         if axis == 0:
diff --git a/modin/pandas/groupby.py b/modin/pandas/groupby.py
index 925cd13319f..176a7e84174 100644
--- a/modin/pandas/groupby.py
+++ b/modin/pandas/groupby.py
@@ -1924,9 +1924,10 @@ def nsmallest(self, n=5, keep="first"):
             )
         )
 
-    def validate_func_kwargs(self, kwargs: dict):
+    def _validate_func_kwargs(self, kwargs: dict):
         """
-        Validates types of user-provided "named aggregation" kwargs.
+        Validate types of user-provided "named aggregation" kwargs.
+
         `TypeError` is raised if aggfunc is not `str` or callable.
 
         Parameters
@@ -1965,7 +1966,7 @@ def aggregate(self, func=None, *args, engine=None, engine_kwargs=None, **kwargs)
         engine_default = engine is None and engine_kwargs is None
         # if func is None, will switch to user-provided "named aggregation" kwargs
         if func_is_none := func is None:
-            columns, func = self.validate_func_kwargs(kwargs)
+            columns, func = self._validate_func_kwargs(kwargs)
             kwargs = {}
         if isinstance(func, dict) and engine_default:
             raise SpecificationError("nested renamer is not supported")