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Updated: Jan 8, 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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探索联合学习的漏洞:深入研究渐变逆转攻击.

Pengxin Guo, Runxi Wang, Shuang Zeng

    IEEE transactions on pattern analysis and machine intelligence
    |December 22, 2025
    PubMed
    概括

    渐变倒置攻击 (GIA) 威胁到联邦学习 (FL) 的隐私. 这项研究对GIA方法进行了分类,发现基于优化的GIA最实用但不完美,而其他方法则不切实际. 提出的防御措施是为了加强FL的安全.

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