HFSL: heterogeneity split federated learning based on client computing capabilities

With the rapid growth of the internet of things (IoT) and smart devices, edge computing has emerged as a critical technology for processing massive amounts of data and protecting user privacy. Split federated learning, an emerging distributed learning framework, enables model training without needin...

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Veröffentlicht in:The Journal of supercomputing 2025, Vol.81 (1), Article 196
Hauptverfasser: Wu, Nengwu, Zhao, Wenjie, Chen, Yuxiang, Xiao, Jiahong, Wang, Jin, Liang, Wei, Li, Kuan-Ching, Sukhija, Nitin
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Sprache:eng
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