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Chinese Journal of Computers. 2023, (12) Core

Adaptive Incentive Mechanism for Privacy Computing in Federated Compute First NetworksChinese Full Text

ZHOU Zan;ZHANG Xiao-Yan;YANG Shu-Jie;LI Hong-Jing;KUANG Xiao-Hui;YE He-Liang;XU Chang-Qiao;School of Computer Science,Beijing University of Posts and Telecommunications;State Key Laboratory of Networking and Switching Technology;National Key Laboratory of Science and Technology on Information System Security;Research Institute of China Telecom Co.,Ltd.;

Abstract: In consideration of the practical demands derived from “human-machine-thing” superfusion and the vision of ubiquitous intelligence interconnection during the era of the internet of everything, federated compute first network are regarded as a promising solution, which jointly leverages the data aggregation advantages of distributed intelligent technologies, such as federated learning, and the collaborative computing advantages of the “information high-speed rail（i. e.,low-entropy compute first n... More
Keywords：

federated; compute first network; private-preserving computation; privacy pricing; personalized privacy; dynamic game;

  • Series：

    (I) Electronic Technology ＆ Information Science

  • Subject：

    Computer Software and Application of Computer

  • Classification Code：

    TP309

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