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Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between
  Convergence and Power Transfer

Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer

24 February 2021
Qunsong Zeng
Yuqing Du
Kaibin Huang
ArXivPDFHTML

Papers citing "Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer"

8 / 8 papers shown
Title
Multi-Layer Hierarchical Federated Learning with Quantization
Multi-Layer Hierarchical Federated Learning with Quantization
Seyed Mohammad Azimi-Abarghouyi
Carlo Fischione
FedML
35
0
0
13 May 2025
LoLaFL: Low-Latency Federated Learning via Forward-only Propagation
LoLaFL: Low-Latency Federated Learning via Forward-only Propagation
Jierui Zhang
Jianhao Huang
Kaibin Huang
71
0
0
19 Dec 2024
Over-the-Air Federated Learning via Weighted Aggregation
Over-the-Air Federated Learning via Weighted Aggregation
Seyed Mohammad Azimi-Abarghouyi
Leandros Tassiulas
FedML
34
2
0
12 Sep 2024
Energy-Aware Federated Learning with Distributed User Sampling and
  Multichannel ALOHA
Energy-Aware Federated Learning with Distributed User Sampling and Multichannel ALOHA
Rafael Valente da Silva
O. A. López
R. D. Souza
FedML
26
4
0
12 Sep 2023
Joint Power Control and Data Size Selection for Over-the-Air Computation
  Aided Federated Learning
Joint Power Control and Data Size Selection for Over-the-Air Computation Aided Federated Learning
Xuming An
Rongfei Fan
Shiyuan Zuo
Han Hu
Haiyang Jiang
Ningsong Zhang
FedML
32
0
0
17 Aug 2023
Analysis and Optimization of Wireless Federated Learning with Data
  Heterogeneity
Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity
Xu Han
Jun Li
Wen Chen
Zhen Mei
Kang Wei
Ming Ding
H. Vincent Poor
33
2
0
04 Aug 2023
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and
  Applications
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
34
416
0
24 Nov 2021
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
1