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Asynchronous Multi-Model Dynamic Federated Learning over Wireless
  Networks: Theory, Modeling, and Optimization

Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization

22 May 2023
Zhangyu Chang
Seyyedali Hosseinalipour
M. Chiang
Christopher G. Brinton
ArXivPDFHTML

Papers citing "Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization"

4 / 4 papers shown
Title
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
82
936
0
03 Feb 2021
Device Sampling for Heterogeneous Federated Learning: Theory,
  Algorithms, and Implementation
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang
Mengyuan Lee
Seyyedali Hosseinalipour
Roberto Morabito
M. Chiang
Christopher G. Brinton
FedML
62
108
0
04 Jan 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
61
168
0
28 Jan 2020
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
130
1,663
0
14 Apr 2018
1