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RHFL: a robust method to defend against poisoning attacks for heterogeneous hierarchical federated learning.

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Title: RHFL: a robust method to defend against poisoning attacks for heterogeneous hierarchical federated learning.
Authors: Zhao, Shihai1, Fu, Xiaodong1,2, xiaodong_fu@hotmail.com, Liu, Li1, Li, Jie1, Peng, Wei1, Ding, Jiaman1
Source: Journal of Supercomputing; Jul2025, Vol. 81 Issue 10, p1-33, 33p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186551236
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: RHFL: a robust method to defend against poisoning attacks for heterogeneous hierarchical federated learning.
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  Data: <searchLink fieldCode="AU" term="%22Zhao%2C+Shihai%22">Zhao, Shihai</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Fu%2C+Xiaodong%22">Fu, Xiaodong</searchLink><relatesTo>1,2</relatesTo>, <i>xiaodong_fu@hotmail.com</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Li%22">Liu, Li</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Jie%22">Li, Jie</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Peng%2C+Wei%22">Peng, Wei</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ding%2C+Jiaman%22">Ding, Jiaman</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>; Jul2025, Vol. 81 Issue 10, p1-33, 33p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186551236
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      – Type: doi
        Value: 10.1007/s11227-025-07616-w
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      – Code: eng
        Text: English
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        PageCount: 33
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      – TitleFull: RHFL: a robust method to defend against poisoning attacks for heterogeneous hierarchical federated learning.
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            NameFull: Zhao, Shihai
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            NameFull: Fu, Xiaodong
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            NameFull: Liu, Li
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            NameFull: Li, Jie
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            NameFull: Peng, Wei
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              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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              Value: 81
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