隐私计算在车路协同场景应用的探索与实践

doi:10.11959/j.issn.2096-0271.2022069

摘要/Abstract

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YITATFL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。

Abstract:

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.

Key words: vehicle-road collaboration, edge computing, privacy computing, differential privacy

中图分类号:

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, 2022, 8(5): 74-87.

Ming LI, Abin LYU. Exploration and practice of privacy preserving computing for vehicle-road collaboration system[J]. Big Data Research, 2022, 8(5): 74-87.

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