most citedCommunication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2025

Dynamic Clustering for Personalized Federated Learning on Heterogeneous Edge Devices

Heting Liu, Junzhe Huang, Fang He +1

Federated Learning (FL) enables edge devices to collaboratively learn a global model, but it may not perform well when clients have high data heterogeneity. In this paper, we propo…