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Updated: Jun 3, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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基于区块链的安全联合学习与本地差异性隐私和激励

Saptarshi DE Chaudhury1, Likhith Reddy Morreddigari1, Matta Varun1

  • 1Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur 721302, India.

IEEE transactions on privacy
|January 13, 2025
PubMed
概括

本研究介绍了使用区块链和局部差异隐私 (LDP) 的联合学习 (FL) 的新方法. 它鼓励数据共享,确保只有贡献节点才能访问受过训练的模型,增强安全性和参与性.

关键词:
加密的模型参数.超级账本 (HyperLedger) 的织物是如此.联合学习的联合学习当地差异性隐私 地方差异性隐私一个会话密钥,会话密钥.

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