diff --git a/doc/source/whatsnew/v1.1.1.rst b/doc/source/whatsnew/v1.1.1.rst
index 4fb98bc7c1217..d93cd6edb983a 100644
--- a/doc/source/whatsnew/v1.1.1.rst
+++ b/doc/source/whatsnew/v1.1.1.rst
@@ -19,7 +19,6 @@ Fixed regressions
 - Fixed regression where :func:`read_csv` would raise a ``ValueError`` when ``pandas.options.mode.use_inf_as_na`` was set to ``True`` (:issue:`35493`)
 - Fixed regression where :func:`pandas.testing.assert_series_equal` would raise an error when non-numeric dtypes were passed with ``check_exact=True`` (:issue:`35446`)
 - Fixed regression in :class:`pandas.core.groupby.RollingGroupby` where column selection was ignored (:issue:`35486`)
-- Fixed regression where :meth:`DataFrame.interpolate` would raise a ``TypeError`` when the :class:`DataFrame` was empty (:issue:`35598`).
 - Fixed regression in :meth:`DataFrame.shift` with ``axis=1`` and heterogeneous dtypes (:issue:`35488`)
 - Fixed regression in :meth:`DataFrame.diff` with read-only data (:issue:`35559`)
 - Fixed regression in ``.groupby(..).rolling(..)`` where a segfault would occur with ``center=True`` and an odd number of values (:issue:`35552`)
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 9cbe2f714fd57..2219d54477d9e 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -6892,9 +6892,6 @@ def interpolate(
 
         obj = self.T if should_transpose else self
 
-        if obj.empty:
-            return self
-
         if method not in fillna_methods:
             axis = self._info_axis_number
 
diff --git a/pandas/tests/frame/methods/test_interpolate.py b/pandas/tests/frame/methods/test_interpolate.py
index 3c9d79397e4bd..ddb5723e7bd3e 100644
--- a/pandas/tests/frame/methods/test_interpolate.py
+++ b/pandas/tests/frame/methods/test_interpolate.py
@@ -34,13 +34,6 @@ def test_interp_basic(self):
         expected.loc[5, "B"] = 9
         tm.assert_frame_equal(result, expected)
 
-    def test_interp_empty(self):
-        # https://github.com/pandas-dev/pandas/issues/35598
-        df = DataFrame()
-        result = df.interpolate()
-        expected = df
-        tm.assert_frame_equal(result, expected)
-
     def test_interp_bad_method(self):
         df = DataFrame(
             {