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Federated Split Learning with Large Language Models Integration: A Study on Potential Container Source Identification in Sea-Rail Intermodal Transport.

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Title: Federated Split Learning with Large Language Models Integration: A Study on Potential Container Source Identification in Sea-Rail Intermodal Transport.
Authors: MA, W.1, 21113054@bjtu.edu.cn, Huang, L.1, lhuang@bjtu.edu.cn, Zhang, Q.1, 21113052@bjtu.edu.cn, Wang, Y.1, ywang1@bjtu.edu.cn, Zhang, X.1, xiongzhang@bjtu.edu.cn, Song, R.1, rongjia.song@hdu.edu.cn
Source: International Journal of Computers, Communications & Control; Jun2026, Vol. 21 Issue 3, p1-18, 18p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Federated Split Learning with Large Language Models Integration: A Study on Potential Container Source Identification in Sea-Rail Intermodal Transport.
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      – Type: doi
        Value: 10.15837/ijccc.2026.3.7263
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      – Code: eng
        Text: English
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        PageCount: 18
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      – TitleFull: Federated Split Learning with Large Language Models Integration: A Study on Potential Container Source Identification in Sea-Rail Intermodal Transport.
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            – D: 01
              M: 06
              Text: Jun2026
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              Y: 2026
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