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Gradient Statistics Aware Power Control for Over-the-Air Federated
  Learning
v1v2v3 (latest)

Gradient Statistics Aware Power Control for Over-the-Air Federated Learning

4 March 2020
Naifu Zhang
M. Tao
ArXiv (abs)PDFHTML

Papers citing "Gradient Statistics Aware Power Control for Over-the-Air Federated Learning"

8 / 8 papers shown
Title
Towards Efficient Communications in Federated Learning: A Contemporary
  Survey
Towards Efficient Communications in Federated Learning: A Contemporary SurveyJournal of the Franklin Institute (JFI), 2022
Zihao Zhao
Yuzhu Mao
Yang Liu
Linqi Song
Ouyang Ye
Xinlei Chen
Wenbo Ding
FedML
346
70
0
02 Aug 2022
Over-the-Air Federated Learning with Joint Adaptive Computation and
  Power Control
Over-the-Air Federated Learning with Joint Adaptive Computation and Power ControlInternational Symposium on Information Theory (ISIT), 2022
Haibo Yang
Pei-Yuan Qiu
Jia Liu
Aylin Yener
136
21
0
12 May 2022
Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy
  Constraints
Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy ConstraintsIEEE Journal on Selected Areas in Communications (JSAC), 2021
Yuxuan Sun
Sheng Zhou
Z. Niu
Deniz Gündüz
313
123
0
31 May 2021
Turning Channel Noise into an Accelerator for Over-the-Air Principal
  Component Analysis
Turning Channel Noise into an Accelerator for Over-the-Air Principal Component AnalysisIEEE Transactions on Wireless Communications (IEEE TWC), 2021
Zezhong Zhang
Guangxu Zhu
Rui Wang
Vincent K. N. Lau
Kaibin Huang
377
37
0
20 Apr 2021
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air
1-Bit Compressive Sensing for Efficient Federated Learning Over the AirIEEE Transactions on Wireless Communications (IEEE TWC), 2021
Xin-Yue Fan
Yue Wang
Yan Huo
Z. Tian
FedML
190
51
0
30 Mar 2021
Over-the-Air Statistical Estimation
Over-the-Air Statistical EstimationGlobal Communications Conference (GLOBECOM), 2020
Chuan-Zheng Lee
L. P. Barnes
Ayfer Özgür
202
12
0
06 Mar 2021
Distributed Machine Learning for Wireless Communication Networks:
  Techniques, Architectures, and Applications
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and ApplicationsIEEE Communications Surveys and Tutorials (COMST), 2020
Shuyan Hu
Xiaojing Chen
Wei Ni
Ekram Hossain
Xin Wang
AI4CE
255
144
0
02 Dec 2020
Federated Learning via Intelligent Reflecting Surface
Federated Learning via Intelligent Reflecting Surface
Zhibin Wang
Jiahang Qiu
Yong Zhou
Yuanming Shi
Liqun Fu
Wei Chen
Khaled B. Letaief
195
170
0
10 Nov 2020
1