A LightGBM-based vehicle fault detector and cell-triggered edge service migration were tested on a real 5G race circuit, giving 15 ms inference but 24 to 67 s migration and weak detection of sparse anomalies.
Federated Learning for Edge-Based Fault Diagnosis in Connected Vehicles,
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AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration
A LightGBM-based vehicle fault detector and cell-triggered edge service migration were tested on a real 5G race circuit, giving 15 ms inference but 24 to 67 s migration and weak detection of sparse anomalies.