Secure and decentralized federated learning framework with non-IID data based on blockchain
Federated learning enables the collaborative training of machine learning models across multiple organizations, eliminating the need for sharing sensitive data. Nevertheless, in practice, the data distributions among these organizations are often non-independent and identically distributed (non-IID)...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Elsevier
2024-03-01
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| Reeks: | Heliyon |
| Onderwerpen: | |
| Online toegang: | http://www.sciencedirect.com/science/article/pii/S2405844024032079 |
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