diff --git a/fltk/__init__.py b/fltk/__init__.py
index aa6e546b..d1eb1a0f 100644
--- a/fltk/__init__.py
+++ b/fltk/__init__.py
@@ -1,2 +1,2 @@
 
-__version__ = '0.3.1'
\ No newline at end of file
+__version__ = '0.3.2'
\ No newline at end of file
diff --git a/fltk/util/base_config.py b/fltk/util/base_config.py
index f15cdedf..a5a3b74b 100644
--- a/fltk/util/base_config.py
+++ b/fltk/util/base_config.py
@@ -1,3 +1,5 @@
+from datetime import datetime
+
 import torch
 import json
 
@@ -109,6 +111,8 @@ def merge_yaml(self, cfg = {}):
             self.dataset_name = cfg['dataset']
         if 'experiment_prefix' in cfg:
             self.experiment_prefix = cfg['experiment_prefix']
+        else:
+            self.experiment_prefix = f'{datetime.now()}'
         if 'output_location' in cfg:
             self.output_location = cfg['output_location']
         if 'tensor_board_active' in cfg:
diff --git a/fltk/util/remote.py b/fltk/util/remote.py
new file mode 100644
index 00000000..0202f92f
--- /dev/null
+++ b/fltk/util/remote.py
@@ -0,0 +1,66 @@
+import time
+from typing import Any, List
+
+from torch.distributed import rpc
+from dataclasses import dataclass, field
+from torch.futures import Future
+
+def _call_method(method, rref, *args, **kwargs):
+    return method(rref.local_value(), *args, **kwargs)
+
+def _remote_method(method, rref, *args, **kwargs):
+    args = [method, rref] + list(args)
+    return rpc.rpc_sync(rref.owner(), _call_method, args=args, kwargs=kwargs)
+
+def _remote_method_async(method, rref, *args, **kwargs):
+    args = [method, rref] + list(args)
+    return rpc.rpc_async(rref.owner(), _call_method, args=args, kwargs=kwargs)
+
+@dataclass
+class TimingRecord:
+    client_id: str
+    metric: str
+    value: Any
+    epoch: int = None
+    timestamp: float = field(default_factory=time.time)
+
+
+class ClientRef:
+    ref = None
+    name = ""
+    data_size = 0
+    tb_writer = None
+    timing_data: List[TimingRecord] = []
+
+    def __init__(self, name, ref, tensorboard_writer):
+        self.name = name
+        self.ref = ref
+        self.tb_writer = tensorboard_writer
+        self.timing_data = []
+
+    def __repr__(self):
+        return self.name
+
+@dataclass
+class AsyncCall:
+    future: Future
+    client: ClientRef
+    start_time: float = 0
+    end_time: float = 0
+
+    def duration(self):
+        return self.end_time - self.start_time
+
+
+def bind_timing_cb(response_obj: AsyncCall):
+    def callback(fut):
+        stop_time = time.time()
+        response_obj.end_time = stop_time
+    response_obj.future.then(callback)
+
+def timed_remote_async_call(client, method, rref, *args, **kwargs):
+    start_time = time.time()
+    fut = _remote_method_async(method, rref, *args, **kwargs)
+    response = AsyncCall(fut, client, start_time=start_time)
+    bind_timing_cb(response)
+    return response
\ No newline at end of file
diff --git a/fltk/util/results.py b/fltk/util/results.py
index af560479..cf762b8a 100644
--- a/fltk/util/results.py
+++ b/fltk/util/results.py
@@ -4,8 +4,9 @@
 @dataclass
 class EpochData:
     epoch_id: int
-    duration_train: int
-    duration_test: int
+    num_epochs: int
+    duration_train: float
+    duration_test: float
     loss_train: float
     accuracy: float
     loss: float