iChain: Peer-To-Peer Machine Learning Powered by Blockchain Technology

被引:0
作者
Johnson, Caleb [1 ]
Lu, Tao [1 ]
Rivera, Pedro [1 ]
McDonald, Devon [1 ]
Pritchett, Samuel [1 ]
Peng, Lu [1 ]
机构
[1] Louisiana State Univ, Div Elect & Comp Engn, Baton Rouge, LA 70803 USA
来源
FRONTIERS IN BLOCKCHAIN | 2021年 / 4卷
关键词
blockchain; ethereum; peer-to-peer; machine learning; transactions;
D O I
10.3389/fbloc.2021.676159
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
iChain is an application which was created to help meet the growing demand of machine learning. It allows users to pay those with powerful machines to run machine learning tasks for them, bypassing the need for a significant investment in a powerful computer to run it themselves. This is similar to services like a render farm. Our application functions using the Ethereum blockchain which ensures security and decentralization, as well as providing a platform for payment transactions. This article will discuss the background on machine learning and blockchain, the application, how it works, how the data moves through it, and how to use it. We hope our application will enable many without the funds to build or buy a powerful computer to experiment with and utilize complex machine learning tasks.
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页数:8
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