diff --git a/eval/run_xtimes_cifar.sh b/eval/run_xtimes_cifar.sh
index 42ebb1a3814dfa7e2adc16ef76584f56cae7ccfc..616572b50f3a4f8ac67afbe01df13731c564150d 100755
--- a/eval/run_xtimes_cifar.sh
+++ b/eval/run_xtimes_cifar.sh
@@ -52,7 +52,7 @@ m=`cat $ip_machines | grep $(/sbin/ifconfig ens785 | grep 'inet ' | awk '{print
 export PYTHONFAULTHANDLER=1
 
 # Base configs for which the gird search is done
-tests=("step_configs/config_cifar_sharing_dynamicGraphJwins.ini") # ("step_configs/config_cifar_sharing.ini" "step_configs/config_cifar_dpsgdWithRWAsync1.ini" "step_configs/config_cifar_dpsgdWithRWAsync2.ini" "step_configs/config_cifar_dpsgdWithRWAsync4.ini") #"step_configs/config_cifar_partialmodel.ini" "step_configs/config_cifar_topkacc.ini" "step_configs/config_cifar_subsampling.ini" "step_configs/config_cifar_wavelet.ini")
+tests=("step_configs/config_cifar_sharing_dynamicGraphJwins30.ini") # ("step_configs/config_cifar_sharing.ini" "step_configs/config_cifar_dpsgdWithRWAsync1.ini" "step_configs/config_cifar_dpsgdWithRWAsync2.ini" "step_configs/config_cifar_dpsgdWithRWAsync4.ini") #"step_configs/config_cifar_partialmodel.ini" "step_configs/config_cifar_topkacc.ini" "step_configs/config_cifar_subsampling.ini" "step_configs/config_cifar_wavelet.ini")
 # Learning rates
 lr="0.01"
 # Batch size
diff --git a/eval/run_xtimes_reddit_rws.sh b/eval/run_xtimes_reddit_rws.sh
index 2df346266234af80aa5774c6924dd1f7c8b747b8..7b75e8e189e091634d576168d5146b257562cc65 100755
--- a/eval/run_xtimes_reddit_rws.sh
+++ b/eval/run_xtimes_reddit_rws.sh
@@ -42,7 +42,7 @@ graph=96_regular.edges
 config_file=~/tmp/config.ini
 procs_per_machine=16
 machines=6
-global_epochs=160
+global_epochs=80
 eval_file=testing.py
 log_level=DEBUG
 
@@ -54,7 +54,7 @@ export PYTHONFAULTHANDLER=1
 # Base configs for which the gird search is done
 # tests=("step_configs/config_reddit_sharing_topKdynamicGraph.ini")
 # tests=("step_configs/config_reddit_sharing_topKsharingasyncrw.ini" "step_configs/config_reddit_sharing_topKdpsgdrwasync.ini" "step_configs/config_reddit_sharing_topKdpsgdrw.ini")
-tests=("step_configs/config_reddit_sharing_dynamicGraphJwins.ini") # ("step_configs/config_reddit_sharing_dpsgdrwasync0.ini")
+tests=("step_configs/config_reddit_sharing_dynamicGraphJwins30.ini") # ("step_configs/config_reddit_sharing_dpsgdrwasync0.ini")
 # tests=("step_configs/config_reddit_sharing_dpsgdrw.ini" "step_configs/config_reddit_sharing_dpsgdrwasync.ini" "step_configs/config_reddit_sharing_sharingasyncrw.ini" "step_configs/config_reddit_sharing_sharingrw.ini")
 # Learning rates
 lr="1"
diff --git a/eval/step_configs/config_cifar_sharing_dynamicGraphJwins30.ini b/eval/step_configs/config_cifar_sharing_dynamicGraphJwins30.ini
new file mode 100644
index 0000000000000000000000000000000000000000..fba08819e4712a6c01114114729ab3f3495dd52c
--- /dev/null
+++ b/eval/step_configs/config_cifar_sharing_dynamicGraphJwins30.ini
@@ -0,0 +1,47 @@
+[DATASET]
+dataset_package = decentralizepy.datasets.CIFAR10
+dataset_class = CIFAR10
+model_class = LeNet
+train_dir = /mnt/nfs/shared/CIFAR
+test_dir = /mnt/nfs/shared/CIFAR
+; python list of fractions below
+sizes =
+random_seed = 99
+partition_niid = True
+shards = 1
+
+[OPTIMIZER_PARAMS]
+optimizer_package = torch.optim
+optimizer_class = SGD
+lr = 0.001
+
+[TRAIN_PARAMS]
+training_package = decentralizepy.training.Training
+training_class = Training
+rounds = 65
+full_epochs = False
+batch_size = 8
+shuffle = True
+loss_package = torch.nn
+loss_class = CrossEntropyLoss
+
+[COMMUNICATION]
+comm_package = decentralizepy.communication.TCPRandomWalkRouting
+comm_class = TCPRandomWalkRouting
+addresses_filepath = ip_addr_6Machines.json
+compression_package = decentralizepy.compression.Eliaszfplossy1
+compression_class = Eliaszfplossy1
+compress = True
+sampler = equi
+
+[SHARING]
+sharing_package = decentralizepy.sharing.JwinsDynamicGraph
+sharing_class = JwinsDynamicGraph
+alpha=0.25
+lower_bound=0.2
+metro_hastings=False
+change_based_selection = True
+wavelet=sym2
+level= None
+accumulation = True
+accumulate_averaging_changes = True
\ No newline at end of file
diff --git a/eval/step_configs/config_reddit_sharing_dynamicGraphJwins30.ini b/eval/step_configs/config_reddit_sharing_dynamicGraphJwins30.ini
new file mode 100644
index 0000000000000000000000000000000000000000..d80b17e958b44d1c50269af7cca83a58ea8b2447
--- /dev/null
+++ b/eval/step_configs/config_reddit_sharing_dynamicGraphJwins30.ini
@@ -0,0 +1,45 @@
+[DATASET]
+dataset_package = decentralizepy.datasets.Reddit
+dataset_class = Reddit
+random_seed = 97
+model_class = RNN
+train_dir = /mnt/nfs/shared/leaf/data/reddit_new/per_user_data/train
+test_dir = /mnt/nfs/shared/leaf/data/reddit_new/new_small_data/test
+; python list of fractions below
+sizes =
+
+[OPTIMIZER_PARAMS]
+optimizer_package = torch.optim
+optimizer_class = SGD
+lr = 0.001
+
+[TRAIN_PARAMS]
+training_package = decentralizepy.training.Training
+training_class = Training
+rounds = 47
+full_epochs = False
+batch_size = 16
+shuffle = True
+loss_package = torch.nn
+loss_class = CrossEntropyLoss
+
+[COMMUNICATION]
+comm_package = decentralizepy.communication.TCPRandomWalkRouting
+comm_class = TCPRandomWalkRouting
+addresses_filepath = ip_addr_6Machines.json
+compression_package = decentralizepy.compression.Eliaszfplossy1
+compression_class = Eliaszfplossy1
+compress = True
+sampler = equi
+
+[SHARING]
+sharing_package = decentralizepy.sharing.JwinsDynamicGraph
+sharing_class = JwinsDynamicGraph
+alpha=0.25
+lower_bound=0.2
+metro_hastings=False
+change_based_selection = True
+wavelet=sym2
+level= None
+accumulation = True
+accumulate_averaging_changes = True
\ No newline at end of file