5 papers
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…
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…
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…
A SER-based Device Selection Mechanism in Multi-bits Quantization Federated Learning
Pengcheng Sun, Erwu Liu, Rui Wang
The quality of wireless communication will directly affect the performance of federated learning (FL), so this paper analyze the influence of wireless communication on FL through s…
Reinforcement Learning Based Robust Policy Design for Relay and Power Optimization in DF Relaying Networks
Yuanzhe Geng, Erwu Liu, Rui Wang +2
In this paper, we study the outage minimization problem in a decode-and-forward cooperative network with relay uncertainty. To reduce the outage probability and improve the quality…