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Updated: Sep 9, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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基于自适应差异隐私和联合学习的数据合规利用方法

Haiyan Kang1, Bing Wu1, Chong Zhang1

  • 1Department of Information Security, Beijing Information Science and Technology University, Beijing 100192, P. R. China.

International journal of neural systems
|August 29, 2025
PubMed
概括

联合学习 (FL) 增强了数据隐私,但参数推断风险仍然存在. 这项研究引入了自适应差异隐私区块链联合学习 (ADP-BCFL) 方法,以保护分布式数据并防止敏感信息泄露.

关键词:
联合学习适应性差异性隐私区块链数据处理

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