{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reproducing results from SysML'19 paper \"AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation\" via CK workflows (pipelines)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Repository with the CK workflow: : https://github.com/ctuning/reproduce-sysml19-paper-aggregathor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We expect that you already ran this workflow once from the command line to resolve dependencies:\n",
    "$ ck run program:sysml19-aggregathor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import ck.kernel as ck"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Pull/update repo\n",
    "r=ck.access('pull repo:reproduce-sysml19-paper-aggregathor --out=con')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Detect platform\n",
    "r=ck.access('detect platform --out=con')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Show resolved dependencies\n",
    "r=ck.access('show env --out=con')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
     ]
    }
   ],
   "source": [
    "r=ck.access('run program:sysml19-aggregathor')"
   ]
  }
 ],
 "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}