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Communication-Efficient Hierarchical Federated Learning for IoT
  Heterogeneous Systems with Imbalanced Data

Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data

14 July 2021
A. Abdellatif
N. Mhaisen
Amr M. Mohamed
A. Erbad
M. Guizani
Z. Dawy
W. Nasreddine
    FedML
ArXivPDFHTML

Papers citing "Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data"

11 / 11 papers shown
Title
Personalized Multi-tier Federated Learning
Personalized Multi-tier Federated Learning
Sourasekhar Banerjee
Ali Dadras
A. Yurtsever
Monowar Bhuyan
FedML
46
3
0
19 Jul 2024
Towards Dynamic Resource Allocation and Client Scheduling in
  Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning
  Approach
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach
Xiaojing Chen
Zhenyuan Li
Wei Ni
Xin Wang
Shunqing Zhang
Yanzan Sun
Shugong Xu
Qingqi Pei
22
2
0
21 Jun 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
34
1
0
16 May 2024
Efficient Collaborations through Weight-Driven Coalition Dynamics in
  Federated Learning Systems
Efficient Collaborations through Weight-Driven Coalition Dynamics in Federated Learning Systems
Mohammed El Hanjri
Hamza Reguieg
Adil Attiaoui
Amine Abouaomar
A. Kobbane
Mohamed El-Kamili
FedML
20
1
0
22 Jan 2024
PoFEL: Energy-efficient Consensus for Blockchain-based Hierarchical
  Federated Learning
PoFEL: Energy-efficient Consensus for Blockchain-based Hierarchical Federated Learning
Sheng-Nan Li
Qin Hu
Zhilin Wang
29
0
0
15 Aug 2023
Network Anomaly Detection Using Federated Learning
Network Anomaly Detection Using Federated Learning
William Marfo
Deepak K. Tosh
Shirley V. Moore
FedML
11
14
0
13 Mar 2023
Async-HFL: Efficient and Robust Asynchronous Federated Learning in
  Hierarchical IoT Networks
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
Xiaofan Yu
L. Cherkasova
Hars Vardhan
Quanling Zhao
Emily Ekaireb
Xiyuan Zhang
A. Mazumdar
T. Rosing
6
23
0
17 Jan 2023
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Fan Mo
Mohammad Malekzadeh
S. Chatterjee
F. Kawsar
Akhil Mathur
FedML
28
2
0
08 Nov 2022
Time Minimization in Hierarchical Federated Learning
Time Minimization in Hierarchical Federated Learning
Chang-rui Liu
Terence Jie Chua
Junfeng Zhao
33
13
0
07 Oct 2022
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
N. Mhaisen
Alaa Awad
Amr M. Mohamed
A. Erbad
M. Guizani
FedML
27
12
0
10 Dec 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