diff --git a/results/scaling/10/mnist/fully-connected-cliques/experiments.sh b/results/scaling/10/mnist/fully-connected-cliques/experiments.sh
new file mode 100755
index 0000000000000000000000000000000000000000..b814db92daacf69911e7c204cc8037fea14d52fa
--- /dev/null
+++ b/results/scaling/10/mnist/fully-connected-cliques/experiments.sh
@@ -0,0 +1,14 @@
+#!/usr/bin/env bash
+TOOLS=../../../../learn-topology/tools; CWD="$(pwd)"; cd $TOOLS
+BSZS='
+    128
+    '
+LRS='
+    0.1
+    '
+for BSZ in $BSZS; 
+    do for LR in $LRS;
+        do python sgp-mnist.py --nb-nodes 10 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 1 1 1 1 1 1 1 1 1 1 --global-train-ratios 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 --dist-optimization d-psgd --topology fully-connected-cliques --metric dissimilarity --learning-momentum 0. --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --parallel-training --nb-workers 10 --dataset mnist --model linear --clique-gradient --initial-averaging
+    done;
+done;
+
diff --git a/results/scaling/1000/mnist/fully-connected-cliques/experiments.sh b/results/scaling/1000/mnist/fully-connected-cliques/experiments.sh
new file mode 100755
index 0000000000000000000000000000000000000000..1fc9d435b591244063c8b602cbfdae1b47645b54
--- /dev/null
+++ b/results/scaling/1000/mnist/fully-connected-cliques/experiments.sh
@@ -0,0 +1,14 @@
+#!/usr/bin/env bash
+TOOLS=../../../../learn-topology/tools; CWD="$(pwd)"; cd $TOOLS
+BSZS='
+    128
+    '
+LRS='
+    0.1
+    '
+for BSZ in $BSZS; 
+    do for LR in $LRS;
+        do python sgp-mnist.py --nb-nodes 1000 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 100 100 100 100 100 100 100 100 100 100 --global-train-ratios 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 --dist-optimization d-psgd --topology fully-connected-cliques --metric dissimilarity --learning-momentum 0. --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --parallel-training --nb-workers 10 --dataset mnist --model linear --clique-gradient --initial-averaging
+    done;
+done;
+