Heterogeneous Multi-Party Learning With Data-Driven Network Sampling
Multi-party learning provides an effective approach for training a machine learning model, e.g., deep neural networks (DNNs), over decentralized data by leveraging multiple decentralized computing devices, subjected to legal and practical constraints. Different parties, so-called local participants,...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 11 vom: 28. Nov., Seite 13328-13343
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| 1. Verfasser: |
Gong, Maoguo
(VerfasserIn) |
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| Weitere Verfasser: |
Gao, Yuan,
Wu, Yue,
Zhang, Yuanqiao,
Qin, A K,
Ong, Yew-Soon |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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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