Slingshot: Globally Favorable Local Updates for Federated Learning
Federated Learning (FL), as a promising distributed learning paradigm, is proposed to solve the contradiction between the data hunger of modern machine learning and the increasingly stringent need for data privacy. However, clients naturally present different distributions of their local data and in...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2024-01-01
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| Col·lecció: | IEEE Open Journal of the Computer Society |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/10411043/ |
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