大数据
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隐私计算在车路协同场景应用的探索与实践
李明，吕阿斌
中兴飞流信息科技有限公司，江苏 南京 210012
作者简介:
Exploration and Practice of Privacy Preserving Computing for Vehicle-Road Collaboration System
LI Ming, LYU Abin
JETFLOW Corporation Ltd., Nanjing 210012, China
摘要： 基于车路协同的发展现状，总结车路协同场景隐私计算、人工智能等技术的研究进展。设计并实现YITA-TFL可信AI平台，为数据管理、模型训练、模型管理及模型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应用建立样板。
关键词: 车路协同, 边缘计算, 隐私计算, 差分隐私
Abstract: Based on the development of vehicle-road collaboration, this paper summarizes the research progress of privacy computing, artificial intelligence and other technologies for vehicle-road collaboration scene. Design and implement YITA-TFL trusted AI platform, provide complete privacy protection scheme for data management, model training, model management and model reference, and establish a model for the application of artificial intelligence combined with privacy computing in the transportation industry.
Key words: "> vehicle-road collaboration, edge computing, privacy preserving computing, differential privacy
"> vehicle-road collaboration, edge computing, privacy preserving computing, differential privacy
李明, 吕阿斌.
隐私计算在车路协同场景应用的探索与实践 [J]. 大数据, doi: 10.11959/j.issn.2096-0271.2022069.
LI Ming, LYU Abin.
Exploration and Practice of Privacy Preserving Computing for Vehicle-Road Collaboration System [J]. Big Data Research, doi: 10.11959/j.issn.2096-0271.2022069.
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链接本文: http://www.infocomm-journal.com/bdr/CN/10.11959/j.issn.2096-0271.2022069
