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Updated: Sep 18, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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对个性化联合学习的标志度规范化

Koffka Khan1

  • 1Department of Computing and Information Technology, The University of the West Indies, St. Augustine 350462, Trinidad and Tobago.

Entropy (Basel, Switzerland)
|June 26, 2025
PubMed
概括

标志-规范化 (SER) 通过稳定客户端-本地优化来增强个性化联合学习. 这种新的方法减少了梯度符号的变化,从而提高了分布式系统的准确性和更快的融合.

关键词:
的规范化 的规范化联合学习的联合学习梯度标志模式 梯度标志模式个性化个性化个性化多项式根几何学多项式根几何学

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