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        "description": "<!-- <div align=\"center\">\n<img src=\"./docs/source/_static/blocks_bigdata_t.png\" alt=\"logo\" width=\"250px\"></img>\n</div> -->\n\n# Welcome to DISROPT [![Documentation Status](https://readthedocs.org/projects/disropt/badge/?version=latest)](https://disropt.readthedocs.io/en/latest/?badge=latest)\n[**Reference docs**](https://disropt.readthedocs.io/en/latest/)\n| [**Install guide**](#installation)\n| [**Getting started**](#getting-started)\n\n**DISROPT** is a Python package developed within the excellence research program ERC in the project [OPT4SMART](http://www.opt4smart.eu).\nThe aim of this package is to provide an easy way to run distributed optimization algorithms that can \nbe executed by a network of peer computing systems.\n\nA comprehensive guide to DISROPT can be found in the [documentation](https://disropt.readthedocs.io/en/latest/).\nThe package is equipped with some commonly used objective functions and constraints which can be directly used.\n \n**DISROPT** currently supports MPI in order to emulate peer-to-peer communication. However, custom communication protocols can be also implemented.\n\n## Installation\n**DISROPT** works on Python 3.7 and requires an MPI implementation to be installed on your system.\n\nIt relies on\n\n* numpy\n* scipy\n* mpi4py\n* autograd\n* osqp (optional, but required for some features)\n* cvxopt (optional, but required for some features)\n* cvxpy (optional, but required for some features)\n\n### pip installation\n```\npip install disropt\n```\n\n## Getting started\n* [Quickstart](https://disropt.readthedocs.io/en/latest/quickstart/index.html)\n* [Tutorial](https://disropt.readthedocs.io/en/latest/tutorial/index.html)\n  - [Distributed optimization set-ups](https://disropt.readthedocs.io/en/latest/tutorial/setups.html)\n  - [Using functions and constraints](https://disropt.readthedocs.io/en/latest/tutorial/functions_constraints.html)\n  - [Defining local data and problems](https://disropt.readthedocs.io/en/latest/tutorial/problems.html)\n  - [Creating agents](https://disropt.readthedocs.io/en/latest/tutorial/agents.html)\n  - [Algorithms](https://disropt.readthedocs.io/en/latest/tutorial/algorithms.html)\n* [Examples](https://disropt.readthedocs.io/en/latest/examples/index.html)\n\n## Citing **DISROPT**\n\n```\n@article{farina2019disropt,\n  title={DISROPT: a Python Framework for Distributed Optimization},\n  author={Farina, Francesco and Camisa, Andrea and Testa, Andrea and Notarnicola, Ivano and Notarstefano, Giuseppe},\n  journal={arXiv},\n  archivePrefix = {arXiv},\n  eprint = {1911.02410},\n  year={2019}\n}\n```\n\n## Constributors\n**DISROPT** is developed by\n[Francesco Farina](https://francescofarina.github.io),\n[Andrea Camisa](https://www.unibo.it/sitoweb/a.camisa),\n[Andrea Testa](https://www.unibo.it/sitoweb/a.testa),\n[Ivano Notarnicola](https://www.unibo.it/sitoweb/ivano.notarnicola), and\n[Giuseppe Notarstefano](https://www.unibo.it/sitoweb/giuseppe.notarstefano)\n\n## Acknowledgements\nThis result is part of a project that has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 638992 - OPT4SMART).\n\n",
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