Client Selection for Federated Bayesian Learning
Author:
Affiliation:
1. School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
2. King’s Communications, Learning and Information Processing (KCLIP) Lab King’s College London, London, U.K
Funder
Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/49/10075675/10038486.pdf?arnumber=10038486
Reference40 articles.
1. Federated-Learning-Enabled Intelligent Fog Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends
2. Fast-Convergent Federated Learning
3. Accelerating DNN Training in Wireless Federated Edge Learning Systems
4. Scheduling for Cellular Federated Edge Learning With Importance and Channel Awareness
5. Federated learning with non-IID data;zhao;arXiv 1806 00582,2018
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. Two-Timescale Energy Optimization for Wireless Federated Learning;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20
2. Survey: federated learning data security and privacy-preserving in edge-Internet of Things;Artificial Intelligence Review;2024-04-29
3. Client Selection Method for Federated Learning in Multi-robot Collaborative Systems;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
4. Probabilistic Client Selection for Asynchronous Wireless Federated Learning;2023 IEEE Globecom Workshops (GC Wkshps);2023-12-04
5. Latency Minimization for Split Federated Learning;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10
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