FedIBD: a federated learning framework in asynchronous mode for imbalanced data: FedIBD: a federated learning framework in asynchronous mode...: Y. Hou et al.

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Title: FedIBD: a federated learning framework in asynchronous mode for imbalanced data: FedIBD: a federated learning framework in asynchronous mode...: Y. Hou et al.
Authors: Hou, Yingwei1,2, houyw5@mail2.sysu.edu.cn, Li, Haoyuan1, lihy285@mail2.sysu.edu.cn, Guo, Zihan1, guozh29@mail2.sysu.edu.cn, Wu, Weigang2, wuweig@mail.sysu.edu.cn, Liu, Rui3, rui.liu@ntu.edu.sg, You, Linlin1, youllin@mail.sysu.edu.cn
Source: Applied Intelligence; Jan2025, Vol. 55 Issue 2, p1-17, 17p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 181744520
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="AU" term="%22Hou%2C+Yingwei%22">Hou, Yingwei</searchLink><relatesTo>1,2</relatesTo>, <i>houyw5@mail2.sysu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Haoyuan%22">Li, Haoyuan</searchLink><relatesTo>1</relatesTo>, <i>lihy285@mail2.sysu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Guo%2C+Zihan%22">Guo, Zihan</searchLink><relatesTo>1</relatesTo>, <i>guozh29@mail2.sysu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wu%2C+Weigang%22">Wu, Weigang</searchLink><relatesTo>2</relatesTo>, <i>wuweig@mail.sysu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Rui%22">Liu, Rui</searchLink><relatesTo>3</relatesTo>, <i>rui.liu@ntu.edu.sg</i><br /><searchLink fieldCode="AU" term="%22You%2C+Linlin%22">You, Linlin</searchLink><relatesTo>1</relatesTo>, <i>youllin@mail.sysu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Intelligence%22">Applied Intelligence</searchLink>; Jan2025, Vol. 55 Issue 2, p1-17, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181744520
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      – Type: doi
        Value: 10.1007/s10489-024-06032-6
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      – Code: eng
        Text: English
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      – TitleFull: FedIBD: a federated learning framework in asynchronous mode for imbalanced data: FedIBD: a federated learning framework in asynchronous mode...: Y. Hou et al.
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              Text: Jan2025
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              Y: 2025
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