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隐私计算在车路协同场景应用的探索与实践 被引量:3

Exploration and practice of privacy preserving computing for vehicle-road collaboration system
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摘要 基于车路协同的发展现状,总结车路协同场景中隐私计算、人工智能等技术的研究进展。设计并实现YITA-TFL平台,为数据管理、模型训练、模型管理及协同推理提供完备的隐私保护方案,为人工智能结合隐私计算在交通行业的应用提供参考。 Based on the development of vehicle-road collaboration,the research progress of privacy computing,artificial intelligence,and other technologies for the vehicle-road collaboration scene was summarized.YITA-TFL platform was designed and implemented.A complete privacy protection scheme was provided for data management,model training,model management,and collaborative reasoning.And a model was established for the application of artificial intelligence combined with privacy computing in the transportation industry.
作者 李明 吕阿斌 LI Ming;LYU Abin(JETFLOW Co.,Ltd.,Nanjing 210012,China)
出处 《大数据》 2022年第5期74-87,共14页 Big Data Research
关键词 车路协同 边缘计算 隐私计算 差分隐私 vehicle-road collaboration edge computing privacy computing differential privacy
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