Privacy-Preserving Federated Transfer Learning for Driver Drowsiness Detection
Author:
Affiliation:
1. Graduate School of Science and Technology, Keio University, Tokyo, Japan
2. China Auto Information Technology Co., Ltd., Tianjin, China
3. China Automotive Technology and Research Center Co., Ltd., Tianjin, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09833516.pdf?arnumber=9833516
Reference48 articles.
1. YawDD
2. Driver drowsiness detection system based on feature representation learning using various deep networks;park;Proc Asian Conf Comput Vis,2016
3. Efficient Multi-Key Homomorphic Encryption with Packed Ciphertexts with Application to Oblivious Neural Network Inference
4. A homomorphic-encryption-based vertical federated learning scheme for rick management
5. A group-key-based sensitive attribute protection in cloud storage using modified random Fibonacci cryptography
Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Credit risk prediction for small and micro enterprises based on federated transfer learning frozen network parameters;Journal of Network and Computer Applications;2024-12
2. Driver fatigue detection method based on temporal–spatial adaptive networks and adaptive temporal fusion module;Computers and Electrical Engineering;2024-10
3. Privacy-preserving hierarchical federated learning with biosignals to detect drowsiness while driving;Neural Computing and Applications;2024-08-12
4. Scenario Complexity Evaluation Method Of Intelligent Driving Real Road Test Based On Operational Design Condition;Proceedings of the 2024 Asia Pacific Conference on Computing Technologies, Communications and Networking;2024-07-26
5. Spatial–Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning;Information Fusion;2024-05
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3