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,...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 11 vom: 01. Nov., Seite 13328-13343
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| Auteur principal: |
Gong, Maoguo
(Auteur) |
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| Autres auteurs: |
Gao, Yuan,
Wu, Yue,
Zhang, Yuanqiao,
Qin, A K,
Ong, Yew-Soon |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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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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