ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.16952
  4. Cited By
On the Design of Communication-Efficient Federated Learning for Health
  Monitoring

On the Design of Communication-Efficient Federated Learning for Health Monitoring

Global Communications Conference (GLOBECOM), 2022
30 November 2022
D. Chu
Wael Jaafar
H. Yanikomeroglu
    FedML
ArXiv (abs)PDFHTML

Papers citing "On the Design of Communication-Efficient Federated Learning for Health Monitoring"

2 / 2 papers shown
Title
FedFusion: Manifold Driven Federated Learning for Multi-satellite and
  Multi-modality Fusion
FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusion
Daixun Li
Weiying Xie
Yunsong Li
Leyuan Fang
188
29
0
16 Nov 2023
Characterization of the Global Bias Problem in Aerial Federated Learning
Characterization of the Global Bias Problem in Aerial Federated LearningIEEE Wireless Communications Letters (IEEE WCL), 2022
Ruslan Zhagypar
N. Kouzayha
Hesham Elsawy
H. Dahrouj
Tareq Y. Al-Naffouri
145
10
0
29 Dec 2022
1