Gradient Inversion Attacks : Impact Factors Analyses and Privacy Enhancement
Gradient inversion attacks (GIAs) have posed significant challenges to the emerging paradigm of distributed learning, which aims to reconstruct the private training data of clients (participating parties in distributed training) through the shared parameters. For counteracting GIAs, a large number o...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 19. Nov., Seite 9834-9850
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| 1. Verfasser: |
Ye, Zipeng
(VerfasserIn) |
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| Weitere Verfasser: |
Luo, Wenjian,
Zhou, Qi,
Zhu, Zhenqian,
Shi, Yuhui,
Jia, Yan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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