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Navigating threats in federated recommender systems: a survey of attack models and defense strategies.

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Title: Navigating threats in federated recommender systems: a survey of attack models and defense strategies.
Authors: Ali, Waqar1,2, waali@kean.edu, Altulyan, May3, m.altulayan@psau.edu.sa, Ihnaini, Baha1, bihnaini@kean.edu, Zhou, Xiangmin4, xiangmin.zhou@rmit.edu.au, Shao, Jie2,5, shaojie@uestc.edu.cn
Source: Artificial Intelligence Review; Aug2026, Vol. 59 Issue 8, p1-44, 44p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Navigating threats in federated recommender systems: a survey of attack models and defense strategies.
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Aug2026, Vol. 59 Issue 8, p1-44, 44p
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        Value: 10.1007/s10462-026-11579-6
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      – Code: eng
        Text: English
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        PageCount: 44
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            NameFull: Ali, Waqar
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            NameFull: Altulyan, May
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            NameFull: Zhou, Xiangmin
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              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
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              Value: 59
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