3 papers
cs.LG2025
LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments
Pengcheng Sun, Erwu Liu, Wei Ni +4
Federated Learning (FL) is a distributed machine learning paradigm based on protecting data privacy of devices, which however, can still be broken by gradient leakage attack via pa…
cs.LG2025
Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments
Pengcheng Sun, Erwu Liu, Wei Ni +3
The aggregation efficiency and accuracy of wireless Federated Learning (FL) are significantly affected by resource constraints, especially in heterogeneous environments where devic…
cs.LG2024
Dual-Segment Clustering Strategy for Hierarchical Federated Learning in Heterogeneous Wireless Environments
Pengcheng Sun, Erwu Liu, Wei Ni +6
Non-independent and identically distributed (Non- IID) data adversely affects federated learning (FL) while heterogeneity in communication quality can undermine the reliability of…