Survey on data heterogeneity problems and personalization based solutions of federated learning in Internet of vehicles
In Internet of vehicles (IoV) scenario, there was a massive amount of non-independent and identically distributed data among devices, leading to data heterogeneity problems of federated learning (FL). This problem affected the performances of model training and might pose threats to traffic safety....
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| Huvudupphov: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Chinês |
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Editorial Department of Journal on Communications
2024-10-01
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| Serie: | Tongxin xuebao |
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| Länkar: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024170/ |
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