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20232026
most citedSemi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis

6 citations · 7 across the 7 of their papers we have counts for

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2 papers · 1 filter

cs.LG2023★ 1 cited

Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding

Jixuan Cui, Jun Li, Zhen Mei +5

Deep learning-based fault diagnosis (FD) approaches require a large amount of training data, which are difficult to obtain since they are located across different entities. Federat…

cs.LG2023

Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity

Xuefeng Han, Jun Li, Wen Chen +4

With the rapid proliferation of smart mobile devices, federated learning (FL) has been widely considered for application in wireless networks for distributed model training. Howeve…