BlockDL: Privacy-Preserving and Crowd-Sourced Deep Learning Through Blockchain
2021 IEEE Symposium on Computers and Communications (ISCC)(2021)
摘要
Deep learning has become a key technology on modeling large amounts of multi-sourced data. For privacy concerns, the data sharing among companies and organizations is increasingly difficult. In this paper, we present a crowd-sourced federated learning solution to train neural networks with a hybrid blockchain architecture. Smart contracts are used to share data authentications on the main chain, w...
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关键词
Deep learning,Computers,Data privacy,Smart contracts,Neural networks,Collaborative work,Data models
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