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4 August 2022 Pole-2p: Improved consensus algorithm based on Proof of Learning
Biying Zhang, Bowen Zhang, Jianliang Sun
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Proceedings Volume 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022); 123060W (2022) https://doi.org/10.1117/12.2641280
Event: Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 2022, Changchun, China
Abstract
PoW (Proof of Work) consensus algorithm has the advantages of simple algorithm, easy to use, allowing 50% of the nodes in the whole network to fail, but it still has some problems, such as low efficiency, mining waste a lot of resources. PoUW (Proof of Useful Work) based on PoW uses the wasted resources of PoW to carry out meaningful calculation, while PoLe (Proof of Learning) uses the wasted resources to train the machine Learning model. However, it has some problems, such as unreasonable reward mechanism, only one model training, failed to exert all the computing power of nodes. Therefore, the PoLe consensus algorithm is implemented and improved on the consortium blockchain in this paper. Based on the limited access characteristics of the consortium blockchain, some security is sacrificed in exchange for the increase of block speed.
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Biying Zhang, Bowen Zhang, and Jianliang Sun "Pole-2p: Improved consensus algorithm based on Proof of Learning", Proc. SPIE 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 123060W (4 August 2022); https://doi.org/10.1117/12.2641280
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KEYWORDS
Data modeling
Machine learning
Process modeling
Scientific research
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