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Updated: Sep 15, 2025

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在异质的LoRA上进行联邦微调,以错误补偿聚合

Wanyi Ning, Jingyu Wang, Qi Qi

    IEEE transactions on neural networks and learning systems
    |July 17, 2025
    PubMed
    概括

    大型语言模型 (LLM) 的联合学习 (FL) 面临客户端资源差异的挑战. ECLoRA引入了异质低级调整 (LoRA) 与错误补偿,以实现高效和准确的模型微调.

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