Multi-Stage Asynchronous Federated Learning With Adaptive Differential Privacy
The fusion of federated learning and differential privacy can provide more comprehensive and rigorous privacy protection, thus attracting extensive interests from both academia and industry. However, facing the system-level challenge of device heterogeneity, most current synchronous FL paradigms exh...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 2 vom: 01. Jan., Seite 1243-1256
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| 1. Verfasser: |
Li, Yanan
(VerfasserIn) |
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| Weitere Verfasser: |
Yang, Shusen,
Ren, Xuebin,
Shi, Liang,
Zhao, Cong |
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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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