2 papers
cs.CR2026
Client-Verifiable and Efficient Federated Unlearning in Low-Altitude Wireless Networks
Yuhua Xu, Mingtao Jiang, Chenfei Hu +5
In low-altitude wireless networks (LAWN), federated learning (FL) enables collaborative intelligence among unmanned aerial vehicles (UAVs) and integrated sensing and communication…
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…