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Convergence Acceleration in Wireless Federated Learning: A Stackelberg
  Game Approach

Convergence Acceleration in Wireless Federated Learning: A Stackelberg Game Approach

14 September 2022
Kaidi Wang
Y. Ma
Mahdi Boloursaz Mashhadi
C. Foh
Rahim Tafazolli
Z. Ding
    FedML
ArXivPDFHTML

Papers citing "Convergence Acceleration in Wireless Federated Learning: A Stackelberg Game Approach"

5 / 5 papers shown
Title
Balancing Client Participation in Federated Learning Using AoI
Balancing Client Participation in Federated Learning Using AoI
Alireza Javani
Zhiying Wang
41
0
0
08 May 2025
Federated Learning in Intelligent Transportation Systems: Recent
  Applications and Open Problems
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems
Shiying Zhang
Jun Li
Long Shi
Ming Ding
Dinh C. Nguyen
Wuzheng Tan
Jian Weng
Zhu Han
53
34
0
20 Sep 2023
Federated Dropout -- A Simple Approach for Enabling Federated Learning
  on Resource Constrained Devices
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
Dingzhu Wen
Ki-Jun Jeon
Kaibin Huang
FedML
66
88
0
30 Sep 2021
Opportunities of Federated Learning in Connected, Cooperative and
  Automated Industrial Systems
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
S. Savazzi
M. Nicoli
M. Bennis
Sanaz Kianoush
Luca Barbieri
FedML
AIFin
AI4CE
38
124
0
09 Jan 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
1,680
0
14 Apr 2018
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