Communication-efficient model pruning for federated learning in mobile edge computing
In the mobile edge computing scenario, the distributed architecture of federated learning allows the edge server and mobile terminals to cooperatively train the deep model, without necessitating sharing of local data across the mobile terminals. While the training process generally consists of multi...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Chinês |
| Pubblicazione: |
China InfoCom Media Group
2024-09-01
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| Serie: | 物联网学报 |
| Soggetti: | |
| Accesso online: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00392/ |
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