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On Addressing Heterogeneity in Federated Learning for Autonomous
  Vehicles Connected to a Drone Orchestrator

On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator

5 August 2021
I. Donevski
J. J. Nielsen
P. Popovski
ArXivPDFHTML

Papers citing "On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator"

3 / 3 papers shown
Title
The Effect of Personalization in FedProx: A Fine-grained Analysis on
  Statistical Accuracy and Communication Efficiency
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency
Xin Yu
Zelin He
Ying Sun
Lingzhou Xue
Runze Li
FedML
16
0
0
11 Oct 2024
FedBA: Non-IID Federated Learning Framework in UAV Networks
FedBA: Non-IID Federated Learning Framework in UAV Networks
Peichun Li
Zhijun Liu
Luyi Chang
Jialiang Peng
Yi Wu
FedML
18
0
0
10 Oct 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
36
124
0
09 Jan 2021
1