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Updated: Sep 10, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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知識の蒸留に基づいた個人化された統合学習

Ziyang Zhang1, Chang Mu1, Kailing Guo2

  • 1South China University of Technology, Guangzhou, 510641, PR China.

Neural networks : the official journal of the International Neural Network Society
|August 21, 2025
PubMed
まとめ

この研究は,カテゴリー分布と全体的な知識を考慮した新しいパーソナライズド・フェデレーション・ラーニング (PFL) のアプローチを導入しています. パーソナライズされたモデルを拡張し,分布に配慮した情報を統合し,パフォーマンスを改善するためにグローバルモデルと整合します.

キーワード:
ディープラーニング配給の制限世界的な知識知識の蒸留パーソナライズされた統合学習

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