diff --git a/tests/python/test_tracker.py b/tests/python/test_tracker.py
index 5d508f0d17ff..95074553acd7 100644
--- a/tests/python/test_tracker.py
+++ b/tests/python/test_tracker.py
@@ -1,5 +1,7 @@
 import re
 import sys
+from functools import partial, update_wrapper
+from typing import Dict, Union
 
 import numpy as np
 import pytest
@@ -13,8 +15,8 @@
 def test_rabit_tracker():
     tracker = RabitTracker(host_ip="127.0.0.1", n_workers=1)
     tracker.start()
-    with xgb.collective.CommunicatorContext(**tracker.worker_args()):
-        ret = xgb.collective.broadcast("test1234", 0)
+    with collective.CommunicatorContext(**tracker.worker_args()):
+        ret = collective.broadcast("test1234", 0)
         assert str(ret) == "test1234"
 
 
@@ -26,7 +28,7 @@ def test_socket_error():
     env["dmlc_tracker_port"] = 0
     env["dmlc_retry"] = 1
     with pytest.raises(ValueError, match="Failed to bootstrap the communication."):
-        with xgb.collective.CommunicatorContext(**env):
+        with collective.CommunicatorContext(**env):
             pass
     with pytest.raises(ValueError):
         tracker.free()
@@ -70,16 +72,15 @@ def test_rabit_ops():
             run_rabit_ops(client, n_workers)
 
 
-def run_allreduce(client) -> None:
-    from xgboost.dask import CommunicatorContext, _get_dask_config, _get_rabit_args
 
-    workers = tm.get_client_workers(client)
-    rabit_args = client.sync(_get_rabit_args, len(workers), _get_dask_config(), client)
-    n_workers = len(workers)
+def run_allreduce(pool, n_workers: int) -> None:
+    tracker = RabitTracker(host_ip="127.0.0.1", n_workers=n_workers)
+    tracker.start()
+    args = tracker.worker_args()
 
-    def local_test(worker_id: int) -> None:
+    def local_test(worker_id: int, rabit_args: Dict[str, Union[str, int]]) -> None:
         x = np.full(shape=(1024 * 1024 * 32), fill_value=1.0)
-        with CommunicatorContext(**rabit_args):
+        with collective.CommunicatorContext(**rabit_args):
             k = np.asarray([1.0])
             for i in range(128):
                 m = collective.allreduce(k, collective.Op.SUM)
@@ -88,46 +89,48 @@ def local_test(worker_id: int) -> None:
             y = collective.allreduce(x, collective.Op.SUM)
             np.testing.assert_allclose(y, np.full_like(y, fill_value=float(n_workers)))
 
-    futures = client.map(local_test, range(len(workers)), workers=workers)
-    results = client.gather(futures)
+    fn = update_wrapper(partial(local_test, rabit_args=args), local_test)
+    results = pool.map(fn, range(n_workers))
+    for r in results:
+        assert r is None
 
 
-@pytest.mark.skipif(**tm.no_dask())
+@pytest.mark.skipif(**tm.no_loky())
 def test_allreduce() -> None:
-    from distributed import Client, LocalCluster
+    from loky import get_reusable_executor
 
     n_workers = 4
-    for i in range(2):
-        with LocalCluster(n_workers=n_workers) as cluster:
-            with Client(cluster) as client:
-                for i in range(2):
-                    run_allreduce(client)
-
+    n_trials = 2
+    for _ in range(n_trials):
+        with get_reusable_executor(max_workers=n_workers) as pool:
+            run_allreduce(pool, n_workers)
 
-def run_broadcast(client):
-    from xgboost.dask import _get_dask_config, _get_rabit_args
 
-    workers = tm.get_client_workers(client)
-    rabit_args = client.sync(_get_rabit_args, len(workers), _get_dask_config(), client)
+def run_broadcast(pool, n_workers: int) -> None:
+    tracker = RabitTracker(host_ip="127.0.0.1", n_workers=n_workers)
+    tracker.start()
+    args = tracker.worker_args()
 
-    def local_test(worker_id):
+    def local_test(worker_id: int, rabit_args: Dict[str, Union[str, int]]):
         with collective.CommunicatorContext(**rabit_args):
             res = collective.broadcast(17, 0)
             return res
 
-    futures = client.map(local_test, range(len(workers)), workers=workers)
-    results = client.gather(futures)
-    np.testing.assert_allclose(np.array(results), 17)
+    fn = update_wrapper(partial(local_test, rabit_args=args), local_test)
+    results = pool.map(fn, range(n_workers))
+    np.testing.assert_allclose(np.array(list(results)), 17)
 
 
-@pytest.mark.skipif(**tm.no_dask())
+@pytest.mark.skipif(**tm.no_loky())
 def test_broadcast():
-    from distributed import Client, LocalCluster
+    from loky import get_reusable_executor
 
-    n_workers = 3
-    with LocalCluster(n_workers=n_workers) as cluster:
-        with Client(cluster) as client:
-            run_broadcast(client)
+    n_workers = 4
+    n_trials = 2
+
+    for _ in range(n_trials):
+        with get_reusable_executor(max_workers=n_workers) as pool:
+            run_broadcast(pool, n_workers)
 
 
 @pytest.mark.skipif(**tm.no_ipv6())
@@ -151,7 +154,7 @@ def local_test(worker_id):
         with xgb.dask.CommunicatorContext(**args) as ctx:
             task_id = ctx["DMLC_TASK_ID"]
             matched = re.search(".*-([0-9]).*", task_id)
-            rank = xgb.collective.get_rank()
+            rank = collective.get_rank()
             # As long as the number of workers is lesser than 10, rank and worker id
             # should be the same
             assert rank == int(matched.group(1))
@@ -170,21 +173,12 @@ def local_test(worker_id):
             client.gather(futures)
 
 
-@pytest.fixture
-def local_cluster():
-    from distributed import LocalCluster
-
-    n_workers = 8
-    with LocalCluster(n_workers=n_workers, dashboard_address=":0") as cluster:
-        yield cluster
-
-
 ops_strategy = strategies.lists(
     strategies.sampled_from(["broadcast", "allreduce_max", "allreduce_sum"])
 )
 
 
-@pytest.mark.skipif(**tm.no_dask())
+@pytest.mark.skipif(**tm.no_loky())
 @given(ops=ops_strategy, size=strategies.integers(2**4, 2**16))
 @settings(
     deadline=None,
@@ -192,12 +186,14 @@ def local_cluster():
     max_examples=10,
     suppress_health_check=[HealthCheck.function_scoped_fixture],
 )
-def test_ops_restart_comm(local_cluster, ops, size) -> None:
-    from distributed import Client
+def test_ops_restart_comm(ops, size) -> None:
+    from loky import get_reusable_executor
+
+    n_workers = 8
 
-    def local_test(w: int, n_workers: int) -> None:
+    def local_test(w: int, rabit_args: Dict[str, Union[str, int]]) -> None:
         a = np.arange(0, n_workers)
-        with xgb.dask.CommunicatorContext(**args):
+        with collective.CommunicatorContext(**rabit_args):
             for op in ops:
                 if op == "broadcast":
                     b = collective.broadcast(a, root=1)
@@ -211,27 +207,21 @@ def local_test(w: int, n_workers: int) -> None:
                 else:
                     raise ValueError()
 
-    with Client(local_cluster) as client:
-        workers = tm.get_client_workers(client)
-        args = client.sync(
-            xgb.dask._get_rabit_args,
-            len(workers),
-            None,
-            client,
-        )
+    with get_reusable_executor(max_workers=n_workers) as pool:
+        tracker = RabitTracker(host_ip="127.0.0.1", n_workers=n_workers)
+        tracker.start()
+        args = tracker.worker_args()
 
-        workers = tm.get_client_workers(client)
-        n_workers = len(workers)
+        fn = update_wrapper(partial(local_test, rabit_args=args), local_test)
+        results = pool.map(fn, range(n_workers))
 
-        futures = client.map(
-            local_test, range(len(workers)), workers=workers, n_workers=n_workers
-        )
-        client.gather(futures)
+        for r in results:
+            assert r is None
 
 
-@pytest.mark.skipif(**tm.no_dask())
-def test_ops_reuse_comm(local_cluster) -> None:
-    from distributed import Client
+@pytest.mark.skipif(**tm.no_loky())
+def test_ops_reuse_comm() -> None:
+    from loky import get_reusable_executor
 
     rng = np.random.default_rng(1994)
     n_examples = 10
@@ -239,10 +229,13 @@ def test_ops_reuse_comm(local_cluster) -> None:
         ["broadcast", "allreduce_sum", "allreduce_max"], size=n_examples
     ).tolist()
 
-    def local_test(w: int, n_workers: int) -> None:
+    n_workers = 8
+    n_trials = 8
+
+    def local_test(w: int, rabit_args: Dict[str, Union[str, int]]) -> None:
         a = np.arange(0, n_workers)
 
-        with xgb.dask.CommunicatorContext(**args):
+        with collective.CommunicatorContext(**rabit_args):
             for op in ops:
                 if op == "broadcast":
                     b = collective.broadcast(a, root=1)
@@ -257,18 +250,13 @@ def local_test(w: int, n_workers: int) -> None:
                 else:
                     raise ValueError()
 
-    with Client(local_cluster) as client:
-        workers = tm.get_client_workers(client)
-        args = client.sync(
-            xgb.dask._get_rabit_args,
-            len(workers),
-            None,
-            client,
-        )
-
-        n_workers = len(workers)
-
-        futures = client.map(
-            local_test, range(len(workers)), workers=workers, n_workers=n_workers
-        )
-        client.gather(futures)
+    with get_reusable_executor(max_workers=n_workers) as pool:
+        for _ in range(n_trials):
+            tracker = RabitTracker(host_ip="127.0.0.1", n_workers=n_workers)
+            tracker.start()
+            args = tracker.worker_args()
+
+            fn = update_wrapper(partial(local_test, rabit_args=args), local_test)
+            results = pool.map(fn, range(n_workers))
+            for r in results:
+                assert r is None