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...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 18. Dez., Seite 9834-9850
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| Auteur principal: |
Ye, Zipeng
(Auteur) |
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| Autres auteurs: |
Luo, Wenjian,
Zhou, Qi,
Zhu, Zhenqian,
Shi, Yuhui,
Jia, Yan |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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