相关实验视频

Updated: Jan 10, 2026

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

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深度学习与数据隐私通过残留扰乱.

Wenqi Tao, Huaming Ling, Zuoqiang Shi

    IEEE transactions on pattern analysis and machine intelligence
    |November 26, 2025
    PubMed
    概括

    我们介绍了一种新的隐私保护深度学习 (DL) 方法,使用随机微分方程. 这种方法增强了数据隐私和模型实用性,优于现有的差异性私有随机梯度下降 (DPSGD) 方法.

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