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AdaptSFL: Adaptive Split Federated Learning in Resource-Constrained Edge Networks.

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Title: AdaptSFL: Adaptive Split Federated Learning in Resource-Constrained Edge Networks.
Authors: Lin, Zheng1, linzheng@eee.hku.hk, Qu, Guanqiao1, gqqu@eee.hku.hk, Wei, Wei1, weiwei@eee.hku.hk, Chen, Xianhao1, xchen@eee.hku.hk, Leung, Kin K.2, kin.leung@imperial.ac.uk
Source: IEEE Transactions on Networking; Dec2025, Vol. 33 Issue 6, p2993-3008, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193230976
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: AdaptSFL: Adaptive Split Federated Learning in Resource-Constrained Edge Networks.
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  Data: <searchLink fieldCode="AU" term="%22Lin%2C+Zheng%22">Lin, Zheng</searchLink><relatesTo>1</relatesTo>, <i>linzheng@eee.hku.hk</i><br /><searchLink fieldCode="AU" term="%22Qu%2C+Guanqiao%22">Qu, Guanqiao</searchLink><relatesTo>1</relatesTo>, <i>gqqu@eee.hku.hk</i><br /><searchLink fieldCode="AU" term="%22Wei%2C+Wei%22">Wei, Wei</searchLink><relatesTo>1</relatesTo>, <i>weiwei@eee.hku.hk</i><br /><searchLink fieldCode="AU" term="%22Chen%2C+Xianhao%22">Chen, Xianhao</searchLink><relatesTo>1</relatesTo>, <i>xchen@eee.hku.hk</i><br /><searchLink fieldCode="AU" term="%22Leung%2C+Kin+K%2E%22">Leung, Kin K.</searchLink><relatesTo>2</relatesTo>, <i>kin.leung@imperial.ac.uk</i>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Networking%22">IEEE Transactions on Networking</searchLink>; Dec2025, Vol. 33 Issue 6, p2993-3008, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193230976
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        Value: 10.1109/TON.2025.3577790
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        Text: English
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        PageCount: 16
        StartPage: 2993
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      – TitleFull: AdaptSFL: Adaptive Split Federated Learning in Resource-Constrained Edge Networks.
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            NameFull: Lin, Zheng
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            NameFull: Wei, Wei
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            NameFull: Chen, Xianhao
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              M: 12
              Text: Dec2025
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              Y: 2025
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