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FedClust: Tackling Data Heterogeneity in Federated Learning through
  Weight-Driven Client Clustering

FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering

9 July 2024
Md Sirajul Islam
Simin Javaherian
Fei Xu
Xu Yuan
Li Chen
Nian-Feng Tzeng
    FedML
ArXiv (abs)PDFHTML

Papers citing "FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering"

2 / 2 papers shown
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A SurveyInternational Conference on Modern Circuits and Systems Technologies (ICMCST), 2025
Devashish Chaudhary
Sutharshan Rajasegarar
Mengyue Deng
FedMLAI4CE
544
2
0
24 Sep 2025
SEAFL: Enhancing Efficiency in Semi-Asynchronous Federated Learning through Adaptive Aggregation and Selective TrainingIEEE International Parallel and Distributed Processing Symposium (IPDPS), 2025
Md Sirajul Islam
Sanjeev Panta
F. Xu
Xu Yuan
Li Chen
N. Tzeng
FedML
263
0
0
22 Feb 2025
1
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