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Data Heterogeneity-Robust Federated Learning via Group Client Selection
  in Industrial IoT

Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT

3 February 2022
Zonghang Li
Yihong He
Hongfang Yu
Jiawen Kang
Xiaoping Li
Zenglin Xu
Dusit Niyato
    FedML
ArXivPDFHTML

Papers citing "Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT"

11 / 11 papers shown
Title
Heterogeneity-Aware Client Sampling: A Unified Solution for Consistent Federated Learning
Heterogeneity-Aware Client Sampling: A Unified Solution for Consistent Federated Learning
Shudi Weng
Chao Ren
Ming Xiao
Mikael Skoglund
FedML
22
0
0
16 May 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective
Rethinking Federated Graph Learning: A Data Condensation Perspective
Hao Zhang
Xunkai Li
Bo Li
Lianglin Hu
FedML
DD
AI4CE
54
0
0
05 May 2025
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Flora Amato
Lingyu Qiu
Mohammad Tanveer
S. Cuomo
F. Giampaolo
F. Piccialli
FedML
63
0
0
05 May 2025
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and
  Applications
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications
Azim Akhtarshenas
Mohammad Ali Vahedifar
Navid Ayoobi
B. Maham
Tohid Alizadeh
Sina Ebrahimi
David López-Pérez
FedML
36
5
0
08 Oct 2023
Analysis and Optimization of Wireless Federated Learning with Data
  Heterogeneity
Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity
Xu Han
Jun Li
Wen Chen
Zhen Mei
Kang Wei
Ming Ding
H. Vincent Poor
36
2
0
04 Aug 2023
Stochastic Clustered Federated Learning
Stochastic Clustered Federated Learning
Dun Zeng
Xiangjing Hu
Shiyu Liu
Yue Yu
Qifan Wang
Zenglin Xu
FedML
28
13
0
02 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on
  Security, Robustness, and Privacy
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
84
47
0
21 Feb 2023
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics
  in Industrial Metaverse
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse
Shenglai Zeng
Zonghang Li
Hongfang Yu
Zhihao Zhang
Long Luo
Bo-wen Li
Dusit Niyato
39
42
0
07 Nov 2022
FedTP: Federated Learning by Transformer Personalization
FedTP: Federated Learning by Transformer Personalization
Hongxia Li
Zhongyi Cai
Jingya Wang
Jiangnan Tang
Weiping Ding
Chin-Teng Lin
Ye-ling Shi
FedML
38
59
0
03 Nov 2022
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel
  Training
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training
Shenglai Zeng
Zonghang Li
Hongfang Yu
Yihong He
Zenglin Xu
Dusit Niyato
Han Yu
FedML
51
19
0
31 Jan 2022
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
144
1,687
0
14 Apr 2018
1