{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Plotting Figures for 32-bit FL and HFL" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/wesleyjtann/miniconda3/envs/fl_pytorch/lib/python3.7/site-packages/ipykernel_launcher.py:5: UserWarning: matplotlib.pyplot as already been imported, this call will have no effect.\n", " \"\"\"\n" ] } ], "source": [ "import pickle\n", "# PLOTTING \n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "matplotlib.use('Agg')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### MNIST MLP IID " ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "datamodelset = \"MNIST_MLP_IID\"\n", "filename1 = \"[1]FL_mnist_mlp_468_C[0.1]_iid[1]_E[1]_B[10]\"\n", "filename2 = \"[3]HFL2_mnist_mlp_100_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "filename3 = \"[5]HFL4_mnist_mlp_100_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "filename4 = \"[7]HFL8_mnist_mlp_30_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "\n", "with open(r\"../save/objects/\" + filename1 + \".pkl\", \"rb\") as input_file: data1 = pickle.load(input_file)\n", "with open(r\"../save/objects/\" + filename2 + \".pkl\", \"rb\") as input_file: data2 = pickle.load(input_file)\n", "with open(r\"../save/objects/\" + filename3 + \".pkl\", \"rb\") as input_file: data3 = pickle.load(input_file)\n", "with open(r\"../save/objects/\" + filename4 + \".pkl\", \"rb\") as input_file: data4 = pickle.load(input_file) \n", "\n", "trloss1 = data1[0] \n", "trloss2 = data2[0] \n", "trloss3 = data3[0] \n", "trloss4 = data4[0] \n", " \n", "tracc1 = data1[1]\n", "tracc2 = data2[1]\n", "tracc3 = data3[1]\n", "tracc4 = data4[1]" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0, 'Communication Rounds')" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# ===== Plot Average Accuracy vs Communication rounds ===== \n", "plt.figure(figsize=(19, 7))\n", "\n", "plt.subplot(1, 2, 1)\n", "plt.title(datamodelset)\n", "plt.plot(range(len(tracc1)), tracc1, color='r', label=\"FL\", linewidth=0.9)\n", "plt.plot(range(len(tracc2)), tracc2, '-.', color='b', label=\"HFL2\", linewidth=0.9)\n", "plt.plot(range(len(tracc3)), tracc3, '--', color='k', label=\"HFL4\", linewidth=0.9)\n", "plt.plot(range(len(tracc4)), tracc4, color='k', label=\"HFL8\")\n", "plt.legend(loc=\"lower right\")\n", "\n", "\n", "plt.ylabel('Average Accuracy')\n", "plt.xlabel('Communication Rounds')\n", "# plt.savefig('../save/fed_{}_{}_{}_C[{}]_iid[{}]_E[{}]_B[{}]_acc.png'.\n", "# format(args.dataset, args.model, args.epochs, args.frac,\n", "# args.iid, args.local_ep, args.local_bs))\n", "\n", "# plt.savefig('../save/' + datamodelset + '_acc.png')\n", "\n", "\n", "# Plot Loss curve\n", "plt.subplot(1, 2, 2)\n", "plt.title(datamodelset)\n", "\n", "plt.plot(range(len(trloss1)), trloss1, color='r', label=\"FL\", linewidth=0.9)\n", "plt.plot(range(len(trloss2)), trloss2, '-.', color='b', label=\"HFL2\", linewidth=0.9)\n", "plt.plot(range(len(trloss3)), trloss3, '--', color='k', label=\"HFL4\", linewidth=0.9)\n", "plt.plot(range(len(trloss4)), trloss4, color='k', label=\"HFL8\")\n", "plt.legend(loc=\"upper right\")\n", "\n", "plt.ylabel('Training loss')\n", "plt.xlabel('Communication Rounds')\n", "# plt.savefig('../save/fed_{}_{}_{}_C[{}]_iid[{}]_E[{}]_B[{}]_loss.png'.\n", "# format(args.dataset, args.model, args.epochs, args.frac,\n", "# args.iid, args.local_ep, args.local_bs))\n", "\n", "# plt.savefig('../save/' + datamodelset + '_loss.png')\n", "# plt.show" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### MNIST MLP NON-IID " ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "datamodelset = \"MNIST_MLP_NON-IID\"\n", "filename1 = \"[2]FL_mnist_mlp_1196_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "filename2 = \"[4]HFL2_mnist_mlp_100_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "filename3 = \"[6]HFL4_mnist_mlp_150_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "# filename4 = \"\"\n", "\n", "with open(r\"../save/objects/\" + filename1 + \".pkl\", \"rb\") as input_file: data1 = pickle.load(input_file)\n", "with open(r\"../save/objects/\" + filename2 + \".pkl\", \"rb\") as input_file: data2 = pickle.load(input_file)\n", "with open(r\"../save/objects/\" + filename3 + \".pkl\", \"rb\") as input_file: data3 = pickle.load(input_file)\n", "# with open(r\"../save/objects/\" + filename4 + \".pkl\", \"rb\") as input_file: data4 = pickle.load(input_file) \n", "\n", "trloss1 = data1[0] \n", "trloss2 = data2[0] \n", "trloss3 = data3[0] \n", "# trloss4 = data4[0] \n", " \n", "tracc1 = data1[1]\n", "tracc2 = data2[1]\n", "tracc3 = data3[1]\n", "# tracc4 = data4[1]" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0, 'Communication Rounds')" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# ===== Plot Average Accuracy vs Communication rounds ===== \n", "plt.figure(figsize=(19, 7))\n", "\n", "plt.subplot(1, 2, 1)\n", "plt.title(datamodelset)\n", "plt.plot(range(len(tracc1)), tracc1, color='r', label=\"FL\", linewidth=0.9)\n", "plt.plot(range(len(tracc2)), tracc2, '-.', color='b', label=\"HFL2\", linewidth=0.9)\n", "plt.plot(range(len(tracc3)), tracc3, '--', color='k', label=\"HFL4\", linewidth=0.9)\n", "plt.plot(range(len(tracc4)), tracc4, color='k', label=\"HFL8\")\n", "plt.legend(loc=\"lower right\")\n", "\n", "\n", "plt.ylabel('Average Accuracy')\n", "plt.xlabel('Communication Rounds')\n", "# plt.savefig('../save/fed_{}_{}_{}_C[{}]_iid[{}]_E[{}]_B[{}]_acc.png'.\n", "# format(args.dataset, args.model, args.epochs, args.frac,\n", "# args.iid, args.local_ep, args.local_bs))\n", "\n", "# plt.savefig('../save/' + datamodelset + '_acc.png')\n", "\n", "\n", "# Plot Loss curve\n", "plt.subplot(1, 2, 2)\n", "plt.title(datamodelset)\n", "\n", "plt.plot(range(len(trloss1)), trloss1, color='r', label=\"FL\", linewidth=0.9)\n", "plt.plot(range(len(trloss2)), trloss2, '-.', color='b', label=\"HFL2\", linewidth=0.9)\n", "plt.plot(range(len(trloss3)), trloss3, '--', color='k', label=\"HFL4\", linewidth=0.9)\n", "plt.plot(range(len(trloss4)), trloss4, color='k', label=\"HFL8\")\n", "plt.legend(loc=\"upper right\")\n", "\n", "plt.ylabel('Training loss')\n", "plt.xlabel('Communication Rounds')\n", "# plt.savefig('../save/fed_{}_{}_{}_C[{}]_iid[{}]_E[{}]_B[{}]_loss.png'.\n", "# format(args.dataset, args.model, args.epochs, args.frac,\n", "# args.iid, args.local_ep, args.local_bs))\n", "\n", "# plt.savefig('../save/' + datamodelset + '_loss.png')\n", "# plt.show" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### MNIST CNN IID " ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "datamodelset = \"MNIST_CNN_IID\"\n", "filename1 = \"[9]FL_mnist_cnn_100_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "filename2 = \"[11]HFL2_mnist_cnn_100_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "filename3 = \"[13]HFL4_mnist_cnn_100_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "filename4 = \"[15]HFL8_mnist_cnn_30_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "\n", "\n", "with open(r\"../save/objects/\" + filename1 + \".pkl\", \"rb\") as input_file: data1 = pickle.load(input_file)\n", "with open(r\"../save/objects/\" + filename2 + \".pkl\", \"rb\") as input_file: data2 = pickle.load(input_file)\n", "with open(r\"../save/objects/\" + filename3 + \".pkl\", \"rb\") as input_file: data3 = pickle.load(input_file)\n", "with open(r\"../save/objects/\" + filename4 + \".pkl\", \"rb\") as input_file: data4 = pickle.load(input_file) \n", "\n", "trloss1 = data1[0] \n", "trloss2 = data2[0] \n", "trloss3 = data3[0] \n", "trloss4 = data4[0] \n", " \n", "tracc1 = data1[1]\n", "tracc2 = data2[1]\n", "tracc3 = data3[1]\n", "tracc4 = data4[1]" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0, 'Communication Rounds')" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# ===== Plot Average Accuracy vs Communication rounds ===== \n", "plt.figure(figsize=(19, 7))\n", "\n", "plt.subplot(1, 2, 1)\n", "plt.title(datamodelset)\n", "plt.plot(range(len(tracc1)), tracc1, color='r', label=\"FL\", linewidth=0.9)\n", "plt.plot(range(len(tracc2)), tracc2, '-.', color='b', label=\"HFL2\", linewidth=0.9)\n", "plt.plot(range(len(tracc3)), tracc3, '--', color='k', label=\"HFL4\", linewidth=0.9)\n", "plt.plot(range(len(tracc4)), tracc4, color='k', label=\"HFL8\")\n", "plt.legend(loc=\"lower right\")\n", "\n", "\n", "plt.ylabel('Average Accuracy')\n", "plt.xlabel('Communication Rounds')\n", "# plt.savefig('../save/fed_{}_{}_{}_C[{}]_iid[{}]_E[{}]_B[{}]_acc.png'.\n", "# format(args.dataset, args.model, args.epochs, args.frac,\n", "# args.iid, args.local_ep, args.local_bs))\n", "\n", "# plt.savefig('../save/' + datamodelset + '_acc.png')\n", "\n", "\n", "# Plot Loss curve\n", "plt.subplot(1, 2, 2)\n", "plt.title(datamodelset)\n", "\n", "plt.plot(range(len(trloss1)), trloss1, color='r', label=\"FL\", linewidth=0.9)\n", "plt.plot(range(len(trloss2)), trloss2, '-.', color='b', label=\"HFL2\", linewidth=0.9)\n", "plt.plot(range(len(trloss3)), trloss3, '--', color='k', label=\"HFL4\", linewidth=0.9)\n", "plt.plot(range(len(trloss4)), trloss4, color='k', label=\"HFL8\")\n", "plt.legend(loc=\"upper right\")\n", "\n", "plt.ylabel('Training loss')\n", "plt.xlabel('Communication Rounds')\n", "# plt.savefig('../save/fed_{}_{}_{}_C[{}]_iid[{}]_E[{}]_B[{}]_loss.png'.\n", "# format(args.dataset, args.model, args.epochs, args.frac,\n", "# args.iid, args.local_ep, args.local_bs))\n", "\n", "# plt.savefig('../save/' + datamodelset + '_loss.png')\n", "# plt.show" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### MNIST CNN NON-IID " ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "datamodelset = \"MNIST_CNN_NONIID\"\n", "filename1 = \"[10]FL_mnist_cnn_261_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "filename2 = \"[12]HFL2_mnist_cnn_100_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "filename3 = \"[14]HFL4_mnist_cnn_100_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "filename4 = \"[16]HFL8_mnist_cnn_30_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "\n", "with open(r\"../save/objects/\" + filename1 + \".pkl\", \"rb\") as input_file: data1 = pickle.load(input_file)\n", "with open(r\"../save/objects/\" + filename2 + \".pkl\", \"rb\") as input_file: data2 = pickle.load(input_file)\n", "with open(r\"../save/objects/\" + filename3 + \".pkl\", \"rb\") as input_file: data3 = pickle.load(input_file)\n", "with open(r\"../save/objects/\" + filename4 + \".pkl\", \"rb\") as input_file: data4 = pickle.load(input_file) \n", "\n", "trloss1 = data1[0] \n", "trloss2 = data2[0] \n", "trloss3 = data3[0] \n", "trloss4 = data4[0] \n", " \n", "tracc1 = data1[1]\n", "tracc2 = data2[1]\n", "tracc3 = data3[1]\n", "tracc4 = data4[1]" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0, 'Communication Rounds')" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# ===== Plot Average Accuracy vs Communication rounds ===== \n", "plt.figure(figsize=(19, 7))\n", "\n", "plt.subplot(1, 2, 1)\n", "plt.title(datamodelset)\n", "plt.plot(range(len(tracc1)), tracc1, color='r', label=\"FL\", linewidth=0.9)\n", "plt.plot(range(len(tracc2)), tracc2, '-.', color='b', label=\"HFL2\", linewidth=0.9)\n", "plt.plot(range(len(tracc3)), tracc3, '--', color='k', label=\"HFL4\", linewidth=0.9)\n", "plt.plot(range(len(tracc4)), tracc4, color='k', label=\"HFL8\")\n", "plt.legend(loc=\"lower right\")\n", "\n", "\n", "plt.ylabel('Average Accuracy')\n", "plt.xlabel('Communication Rounds')\n", "# plt.savefig('../save/fed_{}_{}_{}_C[{}]_iid[{}]_E[{}]_B[{}]_acc.png'.\n", "# format(args.dataset, args.model, args.epochs, args.frac,\n", "# args.iid, args.local_ep, args.local_bs))\n", "\n", "# plt.savefig('../save/' + datamodelset + '_acc.png')\n", "\n", "\n", "# Plot Loss curve\n", "plt.subplot(1, 2, 2)\n", "plt.title(datamodelset)\n", "\n", "plt.plot(range(len(trloss1)), trloss1, color='r', label=\"FL\", linewidth=0.9)\n", "plt.plot(range(len(trloss2)), trloss2, '-.', color='b', label=\"HFL2\", linewidth=0.9)\n", "plt.plot(range(len(trloss3)), trloss3, '--', color='k', label=\"HFL4\", linewidth=0.9)\n", "plt.plot(range(len(trloss4)), trloss4, color='k', label=\"HFL8\")\n", "plt.legend(loc=\"upper right\")\n", "\n", "plt.ylabel('Training loss')\n", "plt.xlabel('Communication Rounds')\n", "# plt.savefig('../save/fed_{}_{}_{}_C[{}]_iid[{}]_E[{}]_B[{}]_loss.png'.\n", "# format(args.dataset, args.model, args.epochs, args.frac,\n", "# args.iid, args.local_ep, args.local_bs))\n", "\n", "# plt.savefig('../save/' + datamodelset + '_loss.png')\n", "# plt.show" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Function to find out the number of communication rounds needed to exceed a certain prediction accuracy." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The number of global training round just greater than 97.0% : 66\n" ] } ], "source": [ "import pickle\n", "\n", "##### MNIST_MLP_IID\n", "# filename1 = \"[1]FL_mnist_mlp_468_C[0.1]_iid[1]_E[1]_B[10]\"\n", "# filename1 = \"[3]HFL2_mnist_mlp_100_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "# filename1 = \"[5]HFL4_mnist_mlp_100_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "# filename1 = \"[7]HFL8_mnist_mlp_30_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "\n", "##### MNIST_MLP_NON-IID\n", "# filename1 = \"[2]FL_mnist_mlp_1196_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "# filename1 = \"[4]HFL2_mnist_mlp_100_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "# filename1 = \"[6]HFL4_mnist_mlp_150_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "\n", "##### MNIST_CNN_IID\n", "filename1 = \"[9]FL_mnist_cnn_100_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "# filename1 = \"[11]HFL2_mnist_cnn_100_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "# filename1 = \"[13]HFL4_mnist_cnn_100_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "# filename1 = \"[15]HFL8_mnist_cnn_30_lr[0.01]_C[0.1]_iid[1]_E[1]_B[10]\"\n", "\n", "##### MNIST_CNN_NON-IID\n", "# filename1 = \"[10]FL_mnist_cnn_261_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "# filename1 = \"[12]HFL2_mnist_cnn_100_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "# filename1 = \"[14]HFL4_mnist_cnn_100_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "# filename1 = \"[16]HFL8_mnist_cnn_30_lr[0.01]_C[0.1]_iid[0]_E[1]_B[10]\"\n", "\n", "##### CIFAR_CNN_NON-IID\n", "# filename1 = \"[20]FL_cifar_cnn_300_lr[0.01]_C[0.1]_iid[1]_E[5]_B[50]\"\n", "# filename1 = \"[21]HFL2_cifar_cnn_100_lr[0.01]_C[0.1]_iid[1]_E[5]_B[50]\"\n", "# filename1 = \"[22]HFL4_cifar_cnn_100_lr[0.01]_C[0.1]_iid[1]_E[5]_B[50]\"\n", "# filename1 = \"[23]HFL8_cifar_cnn_100_lr[0.01]_C[0.1]_iid[1]_E[5]_B[50]\"\n", "\n", "\n", "\n", "# with open(r\"../save/objects_fp16/\" + filename1 + \".pkl\", \"rb\") as input_file: data = pickle.load(input_file)\n", "with open(r\"../save/objects/\" + filename1 + \".pkl\", \"rb\") as input_file: data = pickle.load(input_file)\n", "\n", "trloss = data[0]\n", "tracc = data[1]\n", "\n", "# using enumerate() + next() to find index of first element just greater than a certain percentage\n", "testacc = 0.97\n", "res = next(x for x, val in enumerate(tracc) if val >= testacc) \n", "\n", "# printing result \n", "print (\"The number of global training round just greater than \" + str(testacc*100) + \"% : \" + str(res+1))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 4 }