Convergence Acceleration in Wireless Federated Learning: A Stackelberg Game Approach

14 September 2022

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

7 / 7 papers shown

Title
Balancing Client Participation in Federated Learning Using AoI Alireza Javani Zhiying Wang 53 0 0 08 May 2025
Value of Information and Timing-aware Scheduling for Federated Learning Muhammad Azeem Khan Howard H. Yang Zihan Chen Antonio Iera Nikolaos Pappas 17 3 0 16 Dec 2023
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 73 36 0 20 Sep 2023
Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks Bibo Wu Fang Fang Xianbin Wang 44 19 0 18 Apr 2023
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices Dingzhu Wen Ki-Jun Jeon Kaibin Huang FedML 70 90 0 30 Sep 2021
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems S. Savazzi M. Nicoli M. Bennis Sanaz Kianoush Luca Barbieri FedML AIFin AI4CE 40 126 0 09 Jan 2021
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 1,688 0 14 Apr 2018