diff --git a/fedn/network/combiner/aggregators/fedavg.py b/fedn/network/combiner/aggregators/fedavg.py
index 9ed0adf3c..0d965cfa0 100644
--- a/fedn/network/combiner/aggregators/fedavg.py
+++ b/fedn/network/combiner/aggregators/fedavg.py
@@ -1,9 +1,11 @@
+import traceback
+
 from fedn.common.log_config import logger
 from fedn.network.combiner.aggregators.aggregatorbase import AggregatorBase
 
 
 class Aggregator(AggregatorBase):
-    """ Local SGD / Federated Averaging (FedAvg) aggregator. Computes a weighted mean
+    """Local SGD / Federated Averaging (FedAvg) aggregator. Computes a weighted mean
         of parameter updates.
 
     :param id: A reference to id of :class: `fedn.network.combiner.Combiner`
@@ -48,8 +50,7 @@ def combine_models(self, helper=None, delete_models=True, parameters=None):
         nr_aggregated_models = 0
         total_examples = 0
 
-        logger.info(
-            "AGGREGATOR({}): Aggregating model updates... ".format(self.name))
+        logger.info("AGGREGATOR({}): Aggregating model updates... ".format(self.name))
 
         while not self.model_updates.empty():
             try:
@@ -61,8 +62,7 @@ def combine_models(self, helper=None, delete_models=True, parameters=None):
                 logger.info("AGGREGATOR({}): Loading model metadata {}.".format(self.name, model_update.model_update_id))
                 model_next, metadata = self.load_model_update(model_update, helper)
 
-                logger.info(
-                    "AGGREGATOR({}): Processing model update {}, metadata: {}  ".format(self.name, model_update.model_update_id, metadata))
+                logger.info("AGGREGATOR({}): Processing model update {}, metadata: {}  ".format(self.name, model_update.model_update_id, metadata))
 
                 # Increment total number of examples
                 total_examples += metadata["num_examples"]
@@ -70,19 +70,18 @@ def combine_models(self, helper=None, delete_models=True, parameters=None):
                 if nr_aggregated_models == 0:
                     model = model_next
                 else:
-                    model = helper.increment_average(
-                        model, model_next, metadata["num_examples"], total_examples)
+                    model = helper.increment_average(model, model_next, metadata["num_examples"], total_examples)
 
                 nr_aggregated_models += 1
                 # Delete model from storage
                 if delete_models:
                     self.modelservice.temp_model_storage.delete(model_update.model_update_id)
-                    logger.info(
-                        "AGGREGATOR({}): Deleted model update {} from storage.".format(self.name, model_update.model_update_id))
+                    logger.info("AGGREGATOR({}): Deleted model update {} from storage.".format(self.name, model_update.model_update_id))
                 self.model_updates.task_done()
             except Exception as e:
-                logger.error(
-                    "AGGREGATOR({}): Error encoutered while processing model update {}, skipping this update.".format(self.name, e))
+                tb = traceback.format_exc()
+                logger.error(f"AGGREGATOR({self.name}): Error encoutered while processing model update: {e}")
+                logger.error(tb)
                 self.model_updates.task_done()
 
         data["nr_aggregated_models"] = nr_aggregated_models