i-WSN League: Clustered Distributed Learning in Wireless Sensor Networks
Author:
Affiliation:
1. Department of Electrical, Electronics and Computer Engineering, CNIT Research Unit, University of Catania, Catania, Italy
Funder
POR Sicilia under Contract SAFE-DEMON
European Union (NextGeneration EU) through the MUR-PNRR Project SAMOTHRACE
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10269651/10141571.pdf?arnumber=10141571
Reference48 articles.
1. MGM-4-FL: Combining federated learning and model gossiping in WSNs
2. Federated learning through model gossiping in wireless sensor networks
3. Communication-efficient learning of deep networks from decentralized data;mcmahan;Proc 20th Int Conf Artif Intell Statist (AISTATS),2017
Cited by 6 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. Real-Time Communication and Digital Twin Modelling Towards Smart Mobility in the SAMOTHRACE Project;2024 IEEE International Symposium on Measurements & Networking (M&N);2024-07-02
2. SETTLE: SEquential Training-based Transfer LEarning in heterogeneous wireless sensor networks;2024 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom);2024-06-24
3. Ensuring Privacy and Communication Efficiency Through Partial Parameter Exchange in Collaborative Learning for Vehicular Applications;2024 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom);2024-06-24
4. Cooperative learning by knowledge transfer in vehicular networks for applications with user-environment interactions;2024 7th International Balkan Conference on Communications and Networking (BalkanCom);2024-06-03
5. Optimized Clustering and Routing with Sink Mobility for Enhanced Lifetime in IoT-based Wireless Sensor Networks for Smart Farming;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03
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