典型文献
The adaptive distributed learning based on homomorphic encryption and blockchain
文献摘要：
The privacy and security of data are recently research hotspots and challenges. For this issue, an adaptive scheme of distributed learning based on homomorphic encryption and blockchain is pro-posed. Specifically, in the form of homomorphic encryption, the computing party iteratively aggre-gates the learning models from distributed participants, so that the privacy of both the data and mod-el is ensured. Moreover, the aggregations are recorded and verified by blockchain, which prevents attacks from malicious nodes and guarantees the reliability of learning. For these sophisticated priva-cy and security technologies, the computation cost and energy consumption in both the encrypted learning and consensus reaching are analyzed, based on which a joint optimization of computation re-sources allocation and adaptive aggregation to minimize loss function is established with the realistic solution followed. Finally, the simulations and analysis evaluate the performance of the proposed scheme.
文献关键词：
中图分类号：
作者姓名：
YANG Ruizhe;ZHAO Xuehui;ZHANG Yanhua;SI Pengbo;TENG Yinglei
作者机构：
Faculty of Information Technology,Beijing University of Technology,Beijing 100124,P.R.China;School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,P.R.China
文献出处：
引用格式：
[1]YANG Ruizhe;ZHAO Xuehui;ZHANG Yanhua;SI Pengbo;TENG Yinglei-.The adaptive distributed learning based on homomorphic encryption and blockchain)[J].高技术通讯（英文版）,2022(04):337-344
A类：
priva
B类：
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AB值：
0.54013
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