Federated Learning with Infrastructure Resource Limitations in Vehicular Object Detection

2021 IEEE/ACM Symposium on Edge Computing (SEC)(2021)

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摘要
Object detection plays an essential role in many vehicular applications such as Advanced Driver Assistance System(ADAS), Dynamic Map, and Obstacle Detection. However, object detection under the traditional centralized machine learning framework, where images transmission utilization of infrastructure resources and privacy concerns about sensitive image content leakage. We introduce Federated Learn...
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关键词
federated learning,infrastructure resource,object detection
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