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Towards Efficient Federated Learning: Layer-Wise Pruning-Quantization Scheme and Coding Design
As a promising distributed learning paradigm, federated learning (FL) faces the challenge of communication–computation bottlenecks in practical deployments. In this work, we mainly focus on the pruning, quantization, and coding of FL. By adopting a layer-wise operation, we propose an explicit and un...
| 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/PMC10453433/ https://www.ncbi.nlm.nih.gov/pubmed/37628235 http://dx.doi.org/10.3390/e25081205 |