3 citations · 3 across the 7 of their papers we have counts for
7 papers
Effective Range and Optimal Frequency of Through-the-Earth Magnetic Induction Communication
Honglei Ma, Erwu Liu, Wei Ni +4
Magnetic induction communication (MIC) is a promising technology for through-the-earth (TTE) communication. Previous studies on the MIC range have often overlooked the impact of ed…
A Survey of Decentralized Physical Infrastructure Network,Research Directions, and Open Challenges
Ming Jiang, Erwu Liu, Xinyu Qu +3
The Decentralized Physical Infrastructure Network (DePIN) represents a transformative paradigm that redefines the construction, operation, and governance of Information and Communi…
Joint Beamforming and Position Design for Movable Antenna Assisted LEO ISAC Systems
Hanfu Zhang, Erwu Liu
Low earth orbit (LEO) satellite-assisted integrated sensing and communications (ISAC) systems have been extensively studied to achieve ubiquitous connectivity. However, the severe…
Through-the-Earth Magnetic Induction Communication and Networking: A Comprehensive Survey
Honglei Ma, Erwu Liu, Wei Ni +5
Magnetic induction (MI) communication (MIC) has emerged as a promising candidate for underground communication networks due to its excellent penetration capabilities. Integration w…
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…
Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning
Rui Sun, Zhipeng Wang, Hengrui Zhang +5
One of the biggest challenges of building artificial intelligence (AI) model in the healthcare area is the data sharing. Since healthcare data is private, sensitive, and heterogene…