most citedFedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DC2024

AdaOper: Energy-efficient and Responsive Concurrent DNN Inference on Mobile Devices

Zheng Lin, Bin Guo, Sicong Liu +4

Deep neural network (DNN) has driven extensive applications in mobile technology. However, for long-running mobile apps like voice assistants or video applications on smartphones,…

cs.LG2024★ 6 cited

FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data

Yuxin Zhang, Haoyu Chen, Zheng Lin +2

Clustered federated learning (CFL) is proposed to mitigate the performance deterioration stemming from data heterogeneity in federated learning (FL) by grouping similar clients for…