Large-Scale Model Meets Federated Learning: A Hierarchical Hybrid Distributed Training Mechanism for Intelligent Intersection Large-Scale Model

Large-Scale Model Meets Federated Learning: A Hierarchical Hybrid Distributed Training Mechanism for Intelligent Intersection Large-Scale Model

The large-scale model (LSM) can handle large-scale data and complex problems, effectively improving the intelligence level of urban intersections. However, the traffic conditions at intersections are becoming increasingly complex, so the intelligent intersection LSMs (I2LSMs) also need to be continu...

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Bibliographic Details
Main Authors: Chang Liu, Shaoyong Guo, Fangfang Dang, Xuesong Qiu, Sujie Shao
Format: Article
Language:English
Published: Tsinghua University Press 2024-12-01
Series:Big Data Mining and Analytics
Subjects:
intelligent intersections
large-scale models
edge artificial intelligence (ai)
federated learning
compressed sensing
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2024.9020029
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https://www.sciopen.com/article/10.26599/BDMA.2024.9020029

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