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Updated: Feb 19, 2026

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异步DBT:异步分布式双层调整,以使用大型语言模型进行高效的上下文学习

Hui Ma1, Shaoyu Dou2, Ya Liu3

  • 1Xinjiang Key Laboratory of Intelligent Computing and Smart Applications, School of Software, Xinjiang University, Urumqi, 830091, China.

Scientific reports
|February 17, 2026
PubMed
概括

本研究介绍了AsynDBT,一种用于大型语言模型 (LLM) 的异步联合学习算法. 它优化了上下文学习样本和提示,提高了性能,同时在异质环境中保护数据隐私.

关键词:
双层优化优化 双层优化联合学习是联合学习.在上下文学习学习.大型语言模型.

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