ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.02130
  4. Cited By
Client Orchestration and Cost-Efficient Joint Optimization for
  NOMA-Enabled Hierarchical Federated Learning

Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning

3 November 2023
Bibo Wu
Fang Fang
Xianbin Wang
Donghong Cai
Shu Fu
Zhiguo Ding
ArXivPDFHTML

Papers citing "Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning"

3 / 3 papers shown
Title
Service Delay Minimization for Federated Learning over Mobile Devices
Service Delay Minimization for Federated Learning over Mobile Devices
Rui Chen
Dian Shi
Xiaoqi Qin
Dongjie Liu
Miao Pan
Shuguang Cui
FedML
31
32
0
19 May 2022
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
40
125
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
1,687
0
14 Apr 2018
1