Initial commit

src/MLP_s2m_10_3_4_4_False.txt

+{
+    "epochs": 10,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 4,
+    "base_layers": 3,
+    "model": "mlp",
+    "dataset": "svhn-mnist",
+    "dset": "s2m",
+    "iid": true,
+    "num_classes": 10,
+    "gpu": 0,
+    "seed": 1,
+    "finetune": false
+}
\ No newline at end of file

src/MobileNet_s2m_100_4_150_4_True.txt

+{
+    "epochs": 10,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 4,
+    "base_layers": 150,
+    "model": "MobileNet",
+    "dataset": "svhn-mnist",
+    "dset": "s2m",
+    "iid": true,
+    "num_classes": 10,
+    "gpu": 4,
+    "seed": 1,
+    "finetune": true
+}
\ No newline at end of file

src/MobileNet_s2m_10_4_150_4_True.txt

+{
+    "epochs": 10,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 4,
+    "base_layers": 150,
+    "model": "MobileNet",
+    "dataset": "svhn-mnist",
+    "dset": "s2m",
+    "iid": true,
+    "num_classes": 10,
+    "gpu": 4,
+    "seed": 1,
+    "finetune": true
+}
\ No newline at end of file

src/Parse_Files/.ipynb_checkpoints/making_parse_files-checkpoint.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "\n",
+    "for i in ['MobileNet','ResNet']:\n",
+    "    for j in [True,False]:\n",
+    "        for k,l in [(20,1),(1,20),(10,10)]:\n",
+    "            if (i=='MobileNet'):\n",
+    "                for m in [150,164]:\n",
+    "                    args = {\n",
+    "                            \"epochs\" : k,                   # Number of Global Aggregation Rounds\n",
+    "                            \"num_users\":10,                  # Number of Clients\n",
+    "                            \"local_ep\": l,                   # Number of local epochs on each client\n",
+    "                            \"local_bs\" : 128,                 # Batch size for each client\n",
+    "                            \"bs\" : 128,                       # Batch size for global model\n",
+    "                            \"lr\" : 0.01,                     # Learning rate (alpha)\n",
+    "                            \"momentum\" : 0.9,                # Momentum for SGD\n",
+    "                            \"split_ratio\" : 0.9,             # Ratio for splitting client data into training and testing \n",
+    "                            \"overlapping_classes\" : 4,       # In non-iid distribution, no of classes from which a particular user gets the data from\n",
+    "                            \"base_layers\" : m,             # Base layers of local models\n",
+    "                            \"model\" : i,           # Model used for training\n",
+    "                            \"dataset\" :'cifar',              # Dataset \n",
+    "                            \"iid\":j,                     # Data Distribution\n",
+    "                            \"num_classes\" : 10,              # Number of classes in the dataset\n",
+    "                            \"gpu\": 0,                        # GPU id\n",
+    "                            \"seed\" : 1,                      # Seeding\n",
+    "                        }\n",
+    "\n",
+    "\n",
+    "                    with open('./{}_{}_{}_{}.txt'.format(i,str(j),k,m),'w') as outfile:\n",
+    "                        json.dump(args,outfile,indent=4)\n",
+    "                    \n",
+    "            else:\n",
+    "                for m in [204,218]:\n",
+    "                    args = {\n",
+    "                            \"epochs\" : k,                   # Number of Global Aggregation Rounds\n",
+    "                            \"num_users\":10,                  # Number of Clients\n",
+    "                            \"local_ep\": l,                   # Number of local epochs on each client\n",
+    "                            \"local_bs\" : 128,                 # Batch size for each client\n",
+    "                            \"bs\" : 128,                       # Batch size for global model\n",
+    "                            \"lr\" : 0.01,                     # Learning rate (alpha)\n",
+    "                            \"momentum\" : 0.9,                # Momentum for SGD\n",
+    "                            \"split_ratio\" : 0.9,             # Ratio for splitting client data into training and testing \n",
+    "                            \"overlapping_classes\" : 4,       # In non-iid distribution, no of classes from which a particular user gets the data from\n",
+    "                            \"base_layers\" : m,             # Base layers of local models\n",
+    "                            \"model\" : i,           # Model used for training\n",
+    "                            \"dataset\" :'cifar',              # Dataset \n",
+    "                            \"iid\":j,                     # Data Distribution\n",
+    "                            \"num_classes\" : 10,              # Number of classes in the dataset\n",
+    "                            \"gpu\": 0,                        # GPU id\n",
+    "                            \"seed\" : 1,                      # Seeding\n",
+    "                        }\n",
+    "\n",
+    "\n",
+    "                    with open('./{}_{}_{}_{}.txt'.format(i,str(j),k,m),'w') as outfile:\n",
+    "                        json.dump(args,outfile,indent=4)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "\n",
+    "                    args = {\n",
+    "                            \"epochs\" : 2,                   # Number of Global Aggregation Rounds\n",
+    "                            \"num_users\":10,                  # Number of Clients\n",
+    "                            \"local_ep\": 2,                   # Number of local epochs on each client\n",
+    "                            \"local_bs\" : 128,                 # Batch size for each client\n",
+    "                            \"bs\" : 128,                       # Batch size for global model\n",
+    "                            \"lr\" : 0.01,                     # Learning rate (alpha)\n",
+    "                            \"momentum\" : 0.9,                # Momentum for SGD\n",
+    "                            \"split_ratio\" : 0.9,             # Ratio for splitting client data into training and testing \n",
+    "                            \"overlapping_classes\" : 4,       # In non-iid distribution, no of classes from which a particular user gets the data from\n",
+    "                            \"base_layers\" : 204,             # Base layers of local models\n",
+    "                            \"model\" : 'ResNet' ,           # Model used for training\n",
+    "                            \"dataset\" :'cifar',              # Dataset \n",
+    "                            \"iid\":True,                     # Data Distribution\n",
+    "                            \"num_classes\" : 10,              # Number of classes in the dataset\n",
+    "                            \"gpu\": 0,                        # GPU id\n",
+    "                            \"seed\" : 1,                      # Seeding\n",
+    "                        }\n",
+    "\n",
+    "\n",
+    "                    with open('./{}_{}_{}_{}.txt'.format(args.model,,k,m),'w') as outfile:\n",
+    "                        json.dump(args,outfile,indent=4)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

src/Parse_Files/MobileNet_cifar100_100_1_0_4_False.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 4,
+    "base_layers": 0,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1,
+    "finetune": false
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_1_138_40.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 40,
+    "base_layers": 138,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_1_150_10.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 10,
+    "base_layers": 150,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_1_150_100.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 100,
+    "base_layers": 150,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_1_150_40.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 40,
+    "base_layers": 150,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_1_150_4_True.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 4,
+    "base_layers": 150,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1,
+    "finetune": true
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_1_150_80.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 80,
+    "base_layers": 150,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_1_162_40.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 40,
+    "base_layers": 162,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_1_164_10.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 10,
+    "base_layers": 164,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_1_164_100.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 100,
+    "base_layers": 164,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_1_164_40.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 40,
+    "base_layers": 164,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_1_164_80.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 80,
+    "base_layers": 164,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_4_138_40.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 40,
+    "base_layers": 138,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_4_150_10.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 10,
+    "base_layers": 150,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_4_150_100.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 100,
+    "base_layers": 150,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_4_150_40.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 40,
+    "base_layers": 150,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_4_150_4_True.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 4,
+    "base_layers": 150,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1,
+    "finetune": true
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_4_150_80.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 80,
+    "base_layers": 150,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_4_162_40.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 40,
+    "base_layers": 162,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_4_164_10.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 10,
+    "base_layers": 164,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_4_164_100.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 100,
+    "base_layers": 164,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_4_164_40.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 40,
+    "base_layers": 164,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar100_100_4_164_80.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 4,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 80,
+    "base_layers": 164,
+    "model": "MobileNet",
+    "dataset": "cifar100",
+    "iid": false,
+    "num_classes": 100,
+    "gpu": 0,
+    "seed": 1
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar_100_1_0_4_False.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 4,
+    "base_layers": 0,
+    "model": "MobileNet",
+    "dataset": "cifar",
+    "iid": false,
+    "num_classes": 10,
+    "gpu": 0,
+    "seed": 1,
+    "finetune": false
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar_100_1_150_4_True.txt

+{
+    "epochs": 100,
+    "num_users": 10,
+    "local_ep": 1,
+    "local_bs": 128,
+    "bs": 128,
+    "lr": 0.01,
+    "momentum": 0.9,
+    "split_ratio": 0.9,
+    "overlapping_classes": 4,
+    "base_layers": 150,
+    "model": "MobileNet",
+    "dataset": "cifar",
+    "iid": false,
+    "num_classes": 10,
+    "gpu": 0,
+    "seed": 1,
+    "finetune": true
+}
\ No newline at end of file

src/Parse_Files/MobileNet_cifar_100_4_150_4_True.txt

+{
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src/Parse_Files/ResNet_False_20_204.txt

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src/Parse_Files/ResNet_False_2_204.txt

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src/Parse_Files/ResNet_cifar100_100_1_204_10.txt

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src/Parse_Files/ResNet_cifar100_100_1_204_100.txt

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src/Parse_Files/ResNet_cifar100_100_1_204_4_True.txt

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src/Parse_Files/ResNet_cifar_2_1_204_4_True.txt

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src/Parse_Files/ResNet_cifar_2_2_174_4_False.txt

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src/Parse_Files/customMobileNet138_cifar_100_4_2_4.txt

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src/Parse_Files/customMobileNet150_cifar100_100_1_2_40.txt

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