Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-Aided Over-the-Air Federated Learning
Author:
Affiliation:
1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China
2. Commonwealth Scientific and Industrial Research Organization (CSIRO), Sydney, NSW, Australia
Funder
Beijing University of Posts and Telecommunications-China Mobile Research Institute Joint Innovation Center
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7693/9978751/09829190.pdf?arnumber=9829190
Reference61 articles.
1. Energy Efficiency of Uplink Massive MIMO Systems With Successive Interference Cancellation
2. Energy-Efficient Joint User-RB Association and Power Allocation for Uplink Hybrid NOMA-OMA
3. Joint Transmit Precoding and Reconfigurable Intelligent Surface Phase Adjustment: A Decomposition-Aided Channel Estimation Approach
4. Learning Rate Optimization for Federated Learning Exploiting Over-the-Air Computation
5. Federated Dropout—A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
Cited by 10 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 phase offset estimation algorithm for superimposed signals based on full-rank pilots in over-the-air computation;Physical Communication;2023-12
2. Multi-Carrier NOMA-Empowered Wireless Federated Learning With Optimal Power and Bandwidth Allocation;IEEE Transactions on Wireless Communications;2023-12
3. Semi-Federated Learning: Convergence Analysis and Optimization of a Hybrid Learning Framework;IEEE Transactions on Wireless Communications;2023-12
4. Federated Learning With NOMA Assisted by Multiple Intelligent Reflecting Surfaces: Latency Minimizing Optimization and Auction;IEEE Transactions on Vehicular Technology;2023-09
5. ROAR-Fed: RIS-Assisted Over-the-Air Adaptive Resource Allocation for Federated Learning;ICC 2023 - IEEE International Conference on Communications;2023-05-28
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