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Proof-of-learning: A blockchain consensus mechanism based on machine learning competitions
Proof-of-learning: A blockchain consensus mechanism based on machine learning competitions
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.
Type
Conference Contribution
Type of thesis
Series
Citation
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
Date
2019
Publisher
IEEE
Degree
Supervisors
Rights
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.