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Updated: Jan 18, 2026

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

Published on: December 6, 2024

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增强数据隐私在人类因素研究与联合学习的研究

Bingyi Su1, Liwei Qing1, Lu Lu1

  • 1North Carolina State University, USA.

Human factors
|June 6, 2025
PubMed
概括

联合学习为人类因素研究中的机器学习提供了一种保护隐私的替代方案. 这种方法实现了与集中式方法相比的准确性,同时保护了敏感的人类数据.

关键词:
数据隐私 隐私数据 隐私数据联合学习的联合学习人类活动的认可 人类活动的认可人类因素 人类因素检测心理压力 检测心理压力

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