167 citations · 531 across the 87 of their papers we have counts for
7 papers · 1 filter
Efficient STAR-RIS Mode for Energy Minimization in WPT-FL Networks with NOMA
MohammadHossien Alishahi, Ming Zeng, Paul Fortier +5
With the massive deployment of IoT devices in 6G networks, several critical challenges have emerged, such as large communication overhead, coverage limitations, and limited battery…
Secure and Efficient UAV-Based Face Detection via Homomorphic Encryption and Edge Computing
Nguyen Van Duc, Bui Duc Manh, Quang-Trung Luu +3
This paper aims to propose a novel machine learning (ML) approach incorporating Homomorphic Encryption (HE) to address privacy limitations in Unmanned Aerial Vehicles (UAV)-based f…
"Security for Everyone" in Finite Blocklength IRS-aided Systems With Perfect and Imperfect CSI
Monir Abughalwa, Diep N. Nguyen, Dinh Thai Hoang +4
Provisioning secrecy for all users, given the heterogeneity in their channel conditions, locations, and the unknown location of the attacker/eavesdropper, is challenging and not al…
Secure Communications for All Users in Low-Resolution IRS-aided Systems Under Imperfect and Unknown CSI
Monir Abughalwa, Diep N. Nguyen, Dinh Thai Hoang +3
Provisioning secrecy for all users, given the heterogeneity and uncertainty of their channel conditions, locations, and the unknown location of the attacker/eavesdropper, is challe…
End-to-End Human Pose Reconstruction from Wearable Sensors for 6G Extended Reality Systems
Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen +4
Full 3D human pose reconstruction is a critical enabler for extended reality (XR) applications in future sixth generation (6G) networks, supporting immersive interactions in gaming…
Carpe Diem: Critical Learning Period-Aware Contract-Based Incentives for Federated Learning
Thanh Linh Nguyen, Dinh Thai Hoang, Diep N. Nguyen +1
Critical learning periods (CLPs) in federated learning (FL) refer to early stages during which low-quality contributions (e.g., sparse training data availability) can permanently i…