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...

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Detalles Bibliográficos
Autores principales: Zhu, Zheqi, Shi, Yuchen, Xin, Gangtao, Peng, Chenghui, Fan, Pingyi, Letaief, Khaled B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453433/
https://www.ncbi.nlm.nih.gov/pubmed/37628235
http://dx.doi.org/10.3390/e25081205

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