A personalized federated learning method based on stratified sampling in edge network
Federated learning is a distributed learning method protecting the data privacy.It trains a global shared model by aggregating local model updates from multiple clients.To deal with the problem of heterogeneity in data distribution among clients， personalized federated learning is an effective way i...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Editorial Department of Journal of Sichuan University (Natural Science Edition)
2026-03-01
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| Edice: | 四川大学学报. 自然科学版 |
| Témata: | |
| On-line přístup: | http://science.scu.edu.cn/thesisDetails#10.19907/j.0490-6756.250021 |
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