Ruichen Zhang
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2026
Efficient and Privacy-Preserving Distribution Statistics Analytics on Mobile Spatial Data
The paper proposes eSpat-B and eSpat+ systems to enable efficient and privacy-preserving distribution statistics analysis on massive, dynamic mobile spatial data.
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cs.CRRecentMay 25, 2026
Efficient and Privacy-Preserving Distribution Statistics Analytics on Mobile Spatial Data
Xuhao Ren, Mingyang Zhao, Ruichen Zhang, Liehuang Zhu +1 more
The paper proposes eSpat-B and eSpat+ systems to enable efficient and privacy-preserving distribution statistics analysis on massive, dynamic mobile spatial data.
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