37 citations · 55 across the 11 of their papers we have counts for
5 papers · 1 filter
Optimal Privacy Preserving for Federated Learning in Mobile Edge Computing
Hai M. Nguyen, Nam H. Chu, Diep N. Nguyen +5
Federated Learning (FL) with quantization and deliberately added noise over wireless networks is a promising approach to preserve user differential privacy (DP) while reducing wire…
MetaSlicing: A Novel Resource Allocation Framework for Metaverse
Nam H. Chu, Dinh Thai Hoang, Diep N. Nguyen +4
Creating and maintaining the Metaverse requires enormous resources that have never been seen before, especially computing resources for intensive data processing to support the Ext…
AI-enabled mm-Waveform Configuration for Autonomous Vehicles with Integrated Communication and Sensing
Nam H. Chu, Diep N. Nguyen, Dinh Thai Hoang +4
Integrated Communications and Sensing (ICS) has recently emerged as an enabling technology for ubiquitous sensing and IoT applications. For ICS application to Autonomous Vehicles (…
Defeating Eavesdroppers with Ambient Backscatter Communications
Nguyen Van Huynh, Nguyen Quang Hieu, Nam H. Chu +3
Unlike conventional anti-eavesdropping methods that always require additional energy or computing resources (e.g., in friendly jamming and cryptography-based solutions), this work…
Energy-based Proportional Fairness in Cooperative Edge Computing
Thai T. Vu, Dinh Thai Hoang, Khoa T. Phan +2
By executing offloaded tasks from mobile users, edge computing augments mobile user equipments (UEs) with computing/communications resources from edge nodes (ENs), enabling new ser…