diff --git a/fedeca/strategies/fed_kaplan.py b/fedeca/strategies/fed_kaplan.py
index ad3e1f3b..f385b430 100644
--- a/fedeca/strategies/fed_kaplan.py
+++ b/fedeca/strategies/fed_kaplan.py
@@ -1,4 +1,5 @@
 """Compute federated Kaplan-Meier estimates."""
+import pickle as pk
 from typing import List, Optional, Union
 
 import numpy as np
@@ -54,6 +55,11 @@ def __init__(
         self._treated_col = treated_col
         self._propensity_model = propensity_model
         self._tol = tol
+        self.kwargs["duration_col"] = duration_col
+        self.kwargs["event_col"] = event_col
+        self.kwargs["treated_col"] = treated_col
+        self.kwargs["propensity_model"] = propensity_model
+        self.kwargs["tol"] = tol
 
     def build_compute_plan(
         self,
@@ -216,3 +222,35 @@ def compute_agg_km_curve(self, shared_states):
         """
         t_agg, n_agg, d_agg = aggregate_events_statistics(shared_states)
         return km_curve(t_agg, n_agg, d_agg)
+
+    def save_local_state(self, path: Path):
+        """Save the object on the disk.
+
+        Should be used only by the backend, to define the local_state.
+
+        Parameters
+        ----------
+        path : Path
+            Where to save the object.
+        """
+        with open(path, "wb") as file:
+            pk.dump(self.statistics_result, file)
+
+    def load_local_state(self, path: Path) -> Any:
+        """Load the object from the disk.
+
+        Should be used only by the backend, to define the local_state.
+
+        Parameters
+        ----------
+        path : Path
+            Where to find the object.
+
+        Returns
+        -------
+        Any
+            Previously saved instance.
+        """
+        with open(path, "rb") as file:
+            self.statistics_result = pk.load(file)
+        return self