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Joint Client Selection and CPU Frequency Control in Wireless Federated Learning Networks with Power Constraints
Federated learning (FL) represents a distributed machine learning approach that eliminates the necessity of transmitting privacy-sensitive local training samples. However, within wireless FL networks, resource heterogeneity introduces straggler clients, thereby decelerating the learning process. Add...
| Autores principales: | , , , , |
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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/PMC10453361/ https://www.ncbi.nlm.nih.gov/pubmed/37628213 http://dx.doi.org/10.3390/e25081183 |