Federated Learning for Generalization, Robustness, Fairness : A Survey and Benchmark
Federated learning has emerged as a promising paradigm for privacy-preserving collaboration among different parties. Recently, with the popularity of federated learning, an influx of approaches have delivered towards different realistic challenges. In this survey, we provide a systematic overview of...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 25. Dez., Seite 9387-9406
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| 1. Verfasser: |
Huang, Wenke
(VerfasserIn) |
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| Weitere Verfasser: |
Ye, Mang,
Shi, Zekun,
Wan, Guancheng,
Li, He,
Du, Bo,
Yang, Qiang |
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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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