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VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular
  Federated Learning

VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning

30 November 2023
Luca Ballotta
Nicolò Dal Fabbro
Giovanni Perin
Luca Schenato
Michele Rossi
Giuseppe Piro
ArXivPDFHTML

Papers citing "VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning"

5 / 5 papers shown
Title
Resource Constrained Vehicular Edge Federated Learning with Highly
  Mobile Connected Vehicles
Resource Constrained Vehicular Edge Federated Learning with Highly Mobile Connected Vehicles
Md Ferdous Pervej
Richeng Jin
H. Dai
36
32
0
27 Oct 2022
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
60
88
0
30 Sep 2021
Cost-Effective Federated Learning in Mobile Edge Networks
Cost-Effective Federated Learning in Mobile Edge Networks
Bing Luo
Xiang Li
Shiqiang Wang
Jianwei Huang
Leandros Tassiulas
FedML
34
71
0
12 Sep 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity
  and Sparse Gradients
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
A. Mitra
Rayana H. Jaafar
George J. Pappas
Hamed Hassani
FedML
49
157
0
14 Feb 2021
Convergence of Update Aware Device Scheduling for Federated Learning at
  the Wireless Edge
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge
M. Amiri
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
63
168
0
28 Jan 2020
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