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2 December 2022 Research on the combination of blockchain and training of deep neural network model
Yunke Shen, Zhen Zhang, Bing Guo
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Proceedings Volume 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022); 122880R (2022) https://doi.org/10.1117/12.2641050
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 2022, Zhuhai, China
Abstract
As deep neural network models become more and more complex and the advent of massive amounts of data, distributed computing is needed to support the training process of the network model. Blockchain is a new distributed infrastructure and computing paradigm. Training the deep neural network model by converging the computing power of each node through blockchain technology will make the underlying consensus algorithm of the blockchain more practical and at the same time solve the problem of insufficient deep learning computing power. It studies the combination of blockchain and training of deep neural network model. It designs the consensus mechanism of the blockchain, uses the distributed training process of the deep neural network model as the proof of work of the nodes, encourages each node to contribute computing power through the incentive mechanism, and records the important data generated during the computing process in the blockchain.
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Yunke Shen, Zhen Zhang, and Bing Guo "Research on the combination of blockchain and training of deep neural network model", Proc. SPIE 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 122880R (2 December 2022); https://doi.org/10.1117/12.2641050
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KEYWORDS
Data modeling
Neural networks
Distributed computing
Evolutionary algorithms
Neurons
Data communications
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