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GFLLM: Federated Learning in Large Language Models With Optimized Group Aggregation

Bibliographic Details
Title: GFLLM: Federated Learning in Large Language Models With Optimized Group Aggregation
Authors: Chen, Hui, Ota, Kaoru, Dong, Mianxiong
Source: ICC 2025 - IEEE International Conference on Communications Communications, ICC 2025 - IEEE International Conference on. :2791-2796 Jun, 2025
Relation: ICC 2025 - IEEE International Conference on Communications
Database: IEEE Xplore Digital Library
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Header DbId: edseee
DbLabel: IEEE Xplore Digital Library
An: edseee.11162027
RelevancyScore: 1106
AccessLevel: 2
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 1105.75109863281
IllustrationInfo
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  Data: GFLLM: Federated Learning in Large Language Models With Optimized Group Aggregation
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  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Hui%22">Chen, Hui</searchLink><br /><searchLink fieldCode="AR" term="%22Ota%2C+Kaoru%22">Ota, Kaoru</searchLink><br /><searchLink fieldCode="AR" term="%22Dong%2C+Mianxiong%22">Dong, Mianxiong</searchLink>
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  Data: ICC 2025 - IEEE International Conference on Communications Communications, ICC 2025 - IEEE International Conference on. :2791-2796 Jun, 2025
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  Label: Relation
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  Data: ICC 2025 - IEEE International Conference on Communications
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1109/ICC52391.2025.11162027
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      Pagination:
        PageCount: 6
        StartPage: 2791
    Titles:
      – TitleFull: GFLLM: Federated Learning in Large Language Models With Optimized Group Aggregation
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          Name:
            NameFull: Chen, Hui
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            NameFull: Ota, Kaoru
      – PersonEntity:
          Name:
            NameFull: Dong, Mianxiong
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          Dates:
            – D: 08
              M: 06
              Type: published
              Y: 2025
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