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Updated: May 24, 2025

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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针对联合自主监督学习的特征相关指导知识转移

Yi Liu, Song Guo, Jie Zhang

    IEEE transactions on neural networks and learning systems
    |March 3, 2025
    PubMed
    概括

    联合自主监督学习 (FedSSL) 通过交换特征相关性而不是参数或特征来克服标签稀缺性. 这种新的方法,Federated FoA,使异质客户之间的协作成为可能,改善了模型性能.

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