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FedRAD: Heterogeneous Federated Learning via Relational Adaptive Distillation
As the development of the Internet of Things (IoT) continues, Federated Learning (FL) is gaining popularity as a distributed machine learning framework that does not compromise the data privacy of each participant. However, the data held by enterprises and factories in the IoT often have different d...
Autores principales: | Tang, Jianwu, Ding, Xuefeng, Hu, Dasha, Guo, Bing, Shen, Yuncheng, Ma, Pan, Jiang, Yuming |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385861/ https://www.ncbi.nlm.nih.gov/pubmed/37514811 http://dx.doi.org/10.3390/s23146518 |
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