学习证明:基于机器学习竞赛的区块链共识机制

2019 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPCON) Pub Date : 2019-04-01 DOI:10.1109/DAPPCON.2019.00023

Felipe Bravo-Marquez, S. Reeves, M. Ugarte

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引用次数: 51

摘要

本文介绍了WekaCoin，一种基于称为学习证明的新型分布式共识协议的点对点加密货币。学习证明通过对给定任务的机器学习系统进行排名来实现分布式共识。该协议的目的是减轻基于哈希的谜题所涉及的计算浪费，并创建一个公共的分布式和可验证的最先进的机器学习模型和实验数据库。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proof-of-Learning: A Blockchain Consensus Mechanism Based on Machine Learning Competitions

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.

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来源期刊

2019 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPCON)

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