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PrivCQ: Trading multi-dimensional conditional queries under personalised local differential privacy.

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Title: PrivCQ: Trading multi-dimensional conditional queries under personalised local differential privacy.
Authors: Zhang, Mengxiao1,2, mengxiao.zhang@auckland.ac.nz, Li, Weidong2, wli916@aucklanduni.ac.nz, Liu, Yiping1,2, yliu823@aucklanduni.ac.nz, Khoussainov, Bakh1, bmk@uestc.edu.cn, Liu, Jiamou2, jiamou.liu@auckland.ac.nz
Source: Neural Computing & Applications; May2026, Vol. 38 Issue 10, p1-25, 25p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193667810
AccessLevel: 2
PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; May2026, Vol. 38 Issue 10, p1-25, 25p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193667810
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        Value: 10.1007/s00521-026-11988-2
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      – Code: eng
        Text: English
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      – TitleFull: PrivCQ: Trading multi-dimensional conditional queries under personalised local differential privacy.
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              Text: May2026
              Type: published
              Y: 2026
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