A Federated Learning Approach With Imperfect Labels in LoRa-Based Transportation Systems
Author:
Affiliation:
1. Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10304348/10041779.pdf?arnumber=10041779
Reference18 articles.
1. Using trusted data to train deep networks on labels corrupted by severe noise;hendrycks;Proc NIPS,2018
2. Overcoming Noisy and Irrelevant Data in Federated Learning
3. An Energy Efficient Smart Metering System using Edge Computing in LoRa Network
4. A Bayesian Game Based Approach for Associating the Nodes to the Gateway in LoRa Network
5. Federated noisy client learning;tam;arXiv 2106 13239,2021
Cited by 8 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. A contemporary survey of recent advances in federated learning: Taxonomies, applications, and challenges;Internet of Things;2024-10
2. A machine learning-based overlay technique for improving the mechanism of road traffic prediction using global positioning system;Innovative Infrastructure Solutions;2024-07-09
3. Minimizing Intra-Interference in LoRaWAN for Seamless Connectivity in Ubiquitous Networking;2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS);2024-01-03
4. A Model Personalization-based Federated Learning Approach for Heterogeneous Participants with Variability in the Dataset;ACM Transactions on Sensor Networks;2023-12-07
5. Guest Editorial Introduction to the Special Issue on Internet of Things in Intelligent Transportation Infrastructure;IEEE Transactions on Intelligent Transportation Systems;2023-11
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