chore(parallel): log adaptive threshold value per round

edml/config/controller/adaptive_threshold_fn/dynamic.yaml

-name: log_decay_at
 _target_: edml.controllers.adaptive_threshold_mechanism.dynamic.LogarithmicDecayAdaptiveThresholdFn
-starting_value: ???
-approach_value: ???
-decay_rate: 1.0
+name: log_decay_at
+starting_value: 4
+approach_value: 1
+decay_rate: 0.05

edml/controllers/parallel_split_controller.py

@@ -49,6 +49,7 @@ class ParallelSplitController(BaseController):
 
             # Start parallel training of all client devices.
             adaptive_threshold = self._adaptive_threshold_fn.invoke(i)
+            self.logger.log({"adaptive-threshold": adaptive_threshold})
             training_response = self.request_dispatcher.train_parallel_on_server(
                 server_device_id=server_device_id,
                 epochs=1,