Enhancing poisoning attack mitigation in federated learning through perturbation-defense complementarity on history gradients

^*Corresponding author for this work

Research output: Contribution to journal › Letter › peer-review

Original language	English
Article number	1912371
Journal	Frontiers of Computer Science
Volume	19
Issue number	12
DOIs	https://doi.org/10.1007/s11704-025-40924-1
State	Published - Dec 2025

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title = "Enhancing poisoning attack mitigation in federated learning through perturbation-defense complementarity on history gradients",

author = "Cong Wang and Zhilong Mi and Ziqiao Yin and Binghui Guo",

year = "2025",

month = dec,

doi = "10.1007/s11704-025-40924-1",

language = "英语",

volume = "19",

journal = "Frontiers of Computer Science",

issn = "2095-2228",

publisher = "Higher Education Press Limited Company",

number = "12",

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T1 - Enhancing poisoning attack mitigation in federated learning through perturbation-defense complementarity on history gradients

AU - Wang, Cong

AU - Mi, Zhilong

AU - Yin, Ziqiao

AU - Guo, Binghui

PY - 2025/12

Y1 - 2025/12

UR - https://www.scopus.com/pages/publications/105003927655

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DO - 10.1007/s11704-025-40924-1

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AN - SCOPUS:105003927655

SN - 2095-2228

VL - 19

JO - Frontiers of Computer Science

JF - Frontiers of Computer Science

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