{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/mplp-learning-a-message-passing-learning","title":"MPLP: Learning a Message Passing Learning Protocol","arxiv_id":"2007.00970","date":"2020-07-02","proceeding":null,"authors":["Ettore Randazzo","Eyvind Niklasson","Alexander Mordvintsev"],"abstract":"We present a novel method for learning the weights of an artificial neural network - a Message Passing Learning Protocol (MPLP). In MPLP, we abstract every operations occurring in ANNs as independent agents. 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