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DPCrowd: Privacy-Preserving and Communication-Efficient Decentralized Statistical Estimation for Real-Time Crowdsourced Data
Xuebin Ren,
Chia Mu Yu
, Wei Yu, Xinyu Yang
*
, Jun Zhao, Shusen Yang
*
此作品的通信作者
資訊管理與財務金融學系
研究成果
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同行評審
8
引文 斯高帕斯(Scopus)
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Keyphrases
Communication Efficiency
100%
Privacy-preserving
100%
Crowdsourced Data
100%
Statistical Estimation
100%
Privacy Communication
100%
Privacy Protection
50%
Distributed Server
50%
Differential Privacy
50%
Internet of Things
25%
Temporal Correlation
25%
Data Sharing
25%
Estimation Algorithms
25%
Spatial Correlation
25%
Accurate Estimation
25%
Data Privacy
25%
Whole Network
25%
Utility Loss
25%
Privacy Concerns
25%
World-system
25%
Large Population
25%
One-hop Neighbor
25%
Enhanced Algorithm
25%
Smart World
25%
Reliable Knowledge
25%
Dynamic Statistics
25%
Consensus Estimation
25%
Crowdsourced Database
25%
Real-time Broadcasting
25%
Crowdsourcing Participants
25%
Decentralized Network
25%
Real-time Statistics
25%
Computer Science
Privacy Preserving
100%
Statistical Estimation
100%
Differential Privacy
66%
Data Stream
33%
Estimation Algorithm
33%
Temporal Correlation
33%
Real Time Systems
33%
Data Sharing
33%
Data Privacy
33%
Spatial Correlation
33%
Privacy Protection
33%
Privacy Concern
33%
Internet-Of-Things
33%