Proof-of-learning: A blockchain consensus mechanism based on machine learning competitions

Bravo-Marquez, Felipe; Reeves, Steve; Ugarte, Martin

doi:10.1109/DAPPCON.2019.00023

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DOI

10.1109/DAPPCON.2019.00023

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Bravo-Marquez, F., Reeves, S., & Ugarte, M. (2019). Proof-of-learning: A blockchain consensus mechanism based on machine learning competitions. In Proceedings of 2019 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPCON 2019) (pp. 119–124). Washington, DC, USA: IEEE. https://doi.org/10.1109/DAPPCON.2019.00023

Permanent Research Commons link: https://hdl.handle.net/10289/12900

Abstract

This article presents WekaCoin, a peer-to-peer cryptocurrency based on a new distributed consensus protocol called Proof-of-Learning. Proof-of-learning achieves distributed consensus by ranking machine learning systems for a given task. The aim of this protocol is to alleviate the computational waste involved in hashing-based puzzles and to create a public distributed and verifiable database of state-of-the-art machine learning models and experiments.

Date

2019

Type

Conference Contribution

Publisher

IEEE

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This is the author's accepted version. © 2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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