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Updated: Sep 11, 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

在客户级别差异性隐私下,在联合学习中实现更平坦的景观和更好的泛化

Yifan Shi, Kang Wei, Li Shen

    IEEE transactions on pattern analysis and machine intelligence
    |August 11, 2025
    PubMed
    概括

    我们介绍DP-FedSAM和DP-FedSAM-topk,这是私人联合学习 (FL) 的新算法. 这些方法提高了模型的稳定性,并减少了差异隐私 (DP) 引起的性能退化.

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