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Distributed long-time series prediction based on multiple feature decomposition and federated meta-learning under data heterogeneity.

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Title: Distributed long-time series prediction based on multiple feature decomposition and federated meta-learning under data heterogeneity.
Authors: Yang, Meng1, Zhang, Shuyuan1, Wang, Zhanzhong1, wangzz@jlu.edu.cn, Wang, Shuoqi2
Source: Engineering Applications of Artificial Intelligence; Oct2025, Vol. 157, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187337459
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Distributed long-time series prediction based on multiple feature decomposition and federated meta-learning under data heterogeneity.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187337459
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.engappai.2025.111252
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Distributed long-time series prediction based on multiple feature decomposition and federated meta-learning under data heterogeneity.
        Type: main
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            NameFull: Yang, Meng
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            NameFull: Zhang, Shuyuan
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            NameFull: Wang, Zhanzhong
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            – D: 01
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              Text: Oct2025
              Type: published
              Y: 2025
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              Value: 09521976
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              Value: 157
          Titles:
            – TitleFull: Engineering Applications of Artificial Intelligence
              Type: main
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