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Analysis and Optimal Edge Assignment For Hierarchical Federated Learning
  on Non-IID Data

Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data

10 December 2020
N. Mhaisen
Alaa Awad
Amr M. Mohamed
A. Erbad
M. Guizani
    FedML
ArXivPDFHTML

Papers citing "Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data"

4 / 4 papers shown
Title
A Multi-Level Approach for Class Imbalance Problem in Federated Learning
  for Remote Industry 4.0 Applications
A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications
R. Hussain
Mohsen Amini Salehi
FedML
13
0
0
24 Sep 2024
Towards Practical Federated Causal Structure Learning
Towards Practical Federated Causal Structure Learning
Zhaoyu Wang
Pingchuan Ma
Shuai Wang
25
5
0
15 Jun 2023
Communication-Efficient Hierarchical Federated Learning for IoT
  Heterogeneous Systems with Imbalanced Data
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
A. Abdellatif
N. Mhaisen
Amr M. Mohamed
A. Erbad
M. Guizani
Z. Dawy
W. Nasreddine
FedML
55
92
0
14 Jul 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
133
1,663
0
14 Apr 2018
1