関連する実験動画

Updated: Sep 9, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

681

グループ特有の分散概念のデリフト: 連合学習における公平性の必須

Teresa Salazar, Joao Gama, Helder Araujo

    IEEE transactions on neural networks and learning systems
    |September 1, 2025
    PubMed
    まとめ

    この研究は,一部のグループだけがデータ変化を経験するので,公平性が損なわれる機械学習のグループ特有の概念の漂移を導入します. 公平なAIの成果を高めるために 適応された統合学習アプローチが この課題に取り組んでいます

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