diff --git a/byteps/mxnet/__init__.py b/byteps/mxnet/__init__.py
index 9c14c9f92..379cc437b 100644
--- a/byteps/mxnet/__init__.py
+++ b/byteps/mxnet/__init__.py
@@ -222,8 +222,8 @@ def __init__(self, params, optimizer, optimizer_params=None, root_rank=0, compre
         for i, param in enumerate(self._params):
             byteps_declare_tensor("parameter_" + str(i))
             if param.grad_req != 'null':
-                self._intra_compressors[i] = copy.copy(
-                    self._intra_compressor)
+                self._intra_compressors[i] = type(self._intra_compressor)(
+                    **self._intra_compressor.__dict__)
                 byteps_params = dict(
                     filter(lambda attr: attr[0].startswith(
                         "byteps_",), param.__dict__.items())
diff --git a/byteps/mxnet/compression.py b/byteps/mxnet/compression.py
index fab9a8ff6..4da5fc430 100644
--- a/byteps/mxnet/compression.py
+++ b/byteps/mxnet/compression.py
@@ -17,7 +17,8 @@
 import mxnet
 import mxnet.ndarray as nd
 
-import concurrent.futures
+import threading
+from queue import Queue, Empty
 
 
 class Compressor(object):
@@ -66,21 +67,33 @@ def decompress(self, tensor, ctx, *args, **kwargs):
 
 class WeightDecayMomentum(Compressor):
     """For 1bit compression."""
-    pool = concurrent.futures.ThreadPoolExecutor()
 
-    def __init__(self, compressor, mu, wd):
+    def __init__(self, compressor, mu, wd, *args, **kwargs):
         self.compressor = compressor
-        self.mom = None
-        self.cache = None
         self.mu = mu
         self.wd = wd
+        self.task_queue = Queue()
+        self.done_queue = Queue()
+        threading.Thread(target=self._worker, args=(
+            self.mu, self.wd, self.task_queue, self.done_queue), daemon=True).start()
+
+    def __del__(self):
+        self.task_queue.put('STOP')
 
     @staticmethod
-    def _wd_mom(x, mom, cache, wd, mu):
-        nd._internal._mul_scalar(x, wd, out=cache)
-        mom += cache
-        nd._internal._mul_scalar(mom, mu, out=mom)
-        cache += mom
+    def _worker(mu, wd, input, output):
+        mom = None
+        cache = None
+        for x, _ in iter(input.get, 'STOP'):
+            if mom is None:
+                mom = nd.zeros_like(x)
+                cache = nd.zeros_like(x)
+
+            nd._internal._mul_scalar(x, wd, out=cache)
+            mom += cache
+            nd._internal._mul_scalar(mom, mu, out=mom)
+            cache += mom
+            output.put(cache)
 
     def compress(self, tensor, *args, **kwargs):
         """Returns the tensor unmodified."""
@@ -88,13 +101,7 @@ def compress(self, tensor, *args, **kwargs):
             return self.compressor.compress(tensor)
 
         x = kwargs["x"]
-
-        if self.mom is None:
-            self.mom = nd.zeros_like(x)
-            self.cache = nd.zeros_like(x)
-
-        self.future = self.pool.submit(
-            self._wd_mom, x, self.mom, self.cache, self.wd, self.mu)
+        self.task_queue.put((x, None))
         return self.compressor.compress(tensor)
 
     def decompress(self, tensor, ctx, *args, **kwargs):
@@ -103,9 +110,10 @@ def decompress(self, tensor, ctx, *args, **kwargs):
             x_{t+1} = x_t - \eta_t (tensor + \mu m_t + wd * x_t)
         """
         try:
-            self.future.result(timeout=0.1)
-            tensor += self.cache
-        except concurrent.futures.TimeoutError:
+            tensor += self.done_queue.get(timeout=0.1)
+        except Empty:
+            print("empty for wd-momentum")
+        except TimeoutError:
             print("timeout for wd-momentum")
         return self.compressor.decompress(tensor, ctx)
 
@@ -121,3 +129,12 @@ class Compression(object):
 
     """Additional Momentum for weight decay. This is only for 1bit. This is a wrapper."""
     wdmom = WeightDecayMomentum
+
+
+# if __name__ == "__main__":
+#     x = WeightDecayMomentum(Compression.none, 0.9, 1e-4)
+#     import copy
+#     print(x.__dict__)
+#     y = type(x)(**x.__dict__)
+#     print(y.__dict__)
+#     print(x.task_queue is y.task_queue)