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DWFed: A statistical- heterogeneity-based dynamic weighted model aggregation algorithm for federated learning
Federated Learning is a distributed machine learning framework that aims to train a global shared model while keeping their data locally, and previous researches have empirically proven the ideal performance of federated learning methods. However, recent researches found the challenge of statistical...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730797/ https://www.ncbi.nlm.nih.gov/pubmed/36506819 http://dx.doi.org/10.3389/fnbot.2022.1041553 |