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Updated: Sep 16, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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跨 silo 联合学习与记录级别个性化差异性隐私

Junxu Liu1, Jian Lou2, Li Xiong3

  • 1Renmin University of China, Beijing, China.

Conference on Computer and Communications Security : proceedings of the ... conference on computer and communications security. ACM Conference on Computer and Communications Security
|July 11, 2025
PubMed
概括

本研究介绍了rPDP-FL,这是一个新的联合学习框架,在记录水平上使用个性化差异隐私. 它通过适应不同的隐私需求来增强数据保护,优于现有的方法.

关键词:
不同的隐私差异性隐私.联邦学习学习 (Federated Learning) 是一种学习方式.个性化的隐私保护 个性化的隐私保护

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