相关实验视频

Updated: Jul 4, 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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FedTKD:基于适应性知识蒸的可靠的异质联合学习

Leiming Chen1, Weishan Zhang1, Cihao Dong1

  • 1School of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266580, China.

Entropy (Basel, Switzerland)
|January 26, 2024
PubMed
概括

本研究介绍了FedTKD,这是一个可靠的,用于异质模型的联合学习框架. 它可以识别恶意客户端,并选择性地融合知识,在不同的环境中提高模型准确性和隐私.

关键词:
适应性的知识蒸.不同质的联合学习.恶意客户端识别恶意客户端识别值得信赖的知识聚合,可靠的知识聚合.

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