diff --git a/fedml_experiments/distributed/fed_launch/README.md b/fedml_experiments/distributed/fed_launch/README.md
index 59e59af55e..0573984e6c 100644
--- a/fedml_experiments/distributed/fed_launch/README.md
+++ b/fedml_experiments/distributed/fed_launch/README.md
@@ -47,6 +47,17 @@ config_11:
 This example is also used for 11 process. But the mapping is different: Server process -- host1:GPU:0, client 1 -- host1:GPU:0, client 2 -- host1:GPU:1, client 3 -- host1:GPU:1, client 4 -- host2:GPU:0, client 5 -- host2:GPU:1, client 6 -- host2:GPU:2, client 7 -- host3:GPU:0, client 8 -- host3:GPU:1, client 9 -- host3:GPU:2, client 10 -- host3:GPU:3
 
 
+Sometimes one may want to use some GPUs in one machine, instead of all GPUs. Then you can use this:
+```
+config_11:
+    host1: [0, 2]
+    host2: [1, 0, 1]
+    host3: [1, 1, 0, 1]
+    host4: [0, 1, 0, 0, 0, 1, 0, 2]
+```
+Now the mapping become: Server process -- host1:GPU:1, client 1 -- host1:GPU:1, client 2 -- host1:GPU:0, client 3 -- host1:GPU:2, client 4 -- host3:GPU:0, client 5 -- host3:GPU:1, client 6 -- host3:GPU:3, client 7 -- host4:GPU:1, client 8 -- host4:GPU:6, client 9 -- host4:GPU:7, client 10 -- host4:GPU:7.
+
+
 And you also can add many mappings in one yaml file like this:
 ```
 config_11:
diff --git a/fedml_experiments/distributed/fed_launch/main.py b/fedml_experiments/distributed/fed_launch/main.py
index 7e151aa6d0..d3b6cc300e 100644
--- a/fedml_experiments/distributed/fed_launch/main.py
+++ b/fedml_experiments/distributed/fed_launch/main.py
@@ -467,31 +467,6 @@ def init_training_device_from_gpu_util_file(process_id, worker_number, gpu_util_
             FedML_FedAvg_distributed(process_id, worker_number, device, comm,
                                     model, train_data_num, train_data_global, test_data_global,
                                     train_data_local_num_dict, train_data_local_dict, test_data_local_dict, args)
-        elif args.algorithm == 'PSGD':
-            from fedml_api.distributed.PSGD.PSGD_API import FedML_init, FedML_PSGD_distributed
-            FedML_PSGD_distributed(process_id, worker_number, device, comm,
-                                    model, train_data_num, train_data_global, test_data_global,
-                                    train_data_local_num_dict, train_data_local_dict, test_data_local_dict, args)
-        elif args.algorithm == 'DPSGD':
-            from fedml_api.distributed.DPSGD.DPSGD_API import FedML_init, FedML_DPSGD
-            FedML_DPSGD(process_id, worker_number, device, comm,
-                                model, train_data_num, train_data_global, test_data_global,
-                                train_data_local_num_dict, train_data_local_dict, test_data_local_dict, args)
-        elif args.algorithm == 'DCD_PSGD':
-            from fedml_api.distributed.DCD_PSGD.DCD_PSGD_API import FedML_init, FedML_DCD_PSGD
-            FedML_DCD_PSGD(process_id, worker_number, device, comm,
-                                model, train_data_num, train_data_global, test_data_global,
-                                train_data_local_num_dict, train_data_local_dict, test_data_local_dict, args)
-        elif args.algorithm == 'CHOCO_SGD':
-            from fedml_api.distributed.CHOCO_SGD.CHOCO_SGD_API import FedML_init, FedML_CHOCO_SGD
-            FedML_CHOCO_SGD(process_id, worker_number, device, comm,
-                                model, train_data_num, train_data_global, test_data_global,
-                                train_data_local_num_dict, train_data_local_dict, test_data_local_dict, args)
-        elif args.algorithm == 'CHOCO_SGD':
-            from fedml_api.distributed.SAPS_FL.SAPS_FL_API import FedML_init, FedML_SAPS_FL
-            FedML_SAPS_FL(process_id, worker_number, device, comm,
-                                model, train_data_num, train_data_global, test_data_global,
-                                train_data_local_num_dict, train_data_local_dict, test_data_local_dict, args)
         else:
             raise NotImplementedError