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Updated: Jun 24, 2025

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PODE:增强隐私的分布式联合学习方法,用于来源-目的地估计

Sidra Abbas1, Gabriel Avelino Sampedro2,3, Ahmad Almadhor4

  • 1Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan.

PeerJ. Computer science
|June 10, 2024
PubMed
概括

本研究介绍了PODE,这是用于卡车目的地预测的联合学习 (FL) 方法. PODE在本地训练深度神经网络,保护隐私并实现93.20%的准确性,而无需共享原始数据.

关键词:
分布式学习是一种分布式学习.联合学习是联合学习.货运的产生是货运的产生.区域货运需求模型 区域货运需求模型

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