diff --git a/python-package/lightgbm/basic.py b/python-package/lightgbm/basic.py
index 5b0a73f4ed20..b7052243b0ee 100644
--- a/python-package/lightgbm/basic.py
+++ b/python-package/lightgbm/basic.py
@@ -298,6 +298,10 @@ class _ConfigAliases:
                "local_listen_port": {"local_listen_port",
                                      "local_port",
                                      "port"},
+               "machine_list_filename": {"machine_list_filename",
+                                         "machine_list_file",
+                                         "machine_list",
+                                         "mlist"},
                "machines": {"machines",
                             "workers",
                             "nodes"},
@@ -315,6 +319,8 @@ class _ConfigAliases:
                                   "num_rounds",
                                   "num_boost_round",
                                   "n_estimators"},
+               "num_machines": {"num_machines",
+                                "num_machine"},
                "num_threads": {"num_threads",
                                "num_thread",
                                "nthread",
diff --git a/python-package/lightgbm/dask.py b/python-package/lightgbm/dask.py
index 14d349db961f..3fbb6183d9ee 100644
--- a/python-package/lightgbm/dask.py
+++ b/python-package/lightgbm/dask.py
@@ -230,7 +230,7 @@ def _train(client, data, label, params, model_factory, sample_weight=None, group
             return part  # trigger error locally
 
     # Find locations of all parts and map them to particular Dask workers
-    key_to_part_dict = dict([(part.key, part) for part in parts])
+    key_to_part_dict = {part.key: part for part in parts}
     who_has = client.who_has(parts)
     worker_map = defaultdict(list)
     for key, workers in who_has.items():
@@ -280,6 +280,18 @@ def _train(client, data, label, params, model_factory, sample_weight=None, group
     for num_thread_alias in _ConfigAliases.get('num_threads'):
         params.pop(num_thread_alias, None)
 
+    # machines is constructed manually, so remove it and all aliases of it from params
+    for machine_alias in _ConfigAliases.get('machines'):
+        params.pop(machine_alias, None)
+
+    # machines is constructed manually, so remove machine_list_filename and all aliases of it from params
+    for machine_list_filename_alias in _ConfigAliases.get('machine_list_filename'):
+        params.pop(machine_list_filename_alias, None)
+
+    # machines is constructed manually, so remove num_machines and all aliases of it from params
+    for num_machine_alias in _ConfigAliases.get('num_machines'):
+        params.pop(num_machine_alias, None)
+
     # Tell each worker to train on the parts that it has locally
     futures_classifiers = [
         client.submit(