221 citations · 284 across the 12 of their papers we have counts for
12 papers
Hybrid Network- and User-Centric Scalable Cell-Free Massive MIMO for Fronthaul Signaling Minimization
Phu Lai, Wei Xiang, William Damario Lukito +4
Cell-free massive multiple-input multiple-output (CFmMIMO) coordinates a great number of distributed access points (APs) with central processing units (CPUs), effectively reducing…
Enhancing Accuracy-Privacy Trade-off in Differentially Private Split Learning
Ngoc Duy Pham, Khoa Tran Phan, Naveen Chilamkurti
Split learning (SL) aims to protect user data privacy by distributing deep models between client-server and keeping private data locally. Only processed or `smashed' data can be tr…
Countering Eavesdroppers with Meta-learning-based Cooperative Ambient Backscatter Communications
Nam H. Chu, Nguyen Van Huynh, Diep N. Nguyen +5
This article introduces a novel lightweight framework using ambient backscattering communications to counter eavesdroppers. In particular, our framework divides an original message…
Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction
Ngoc Duy Pham, Alsharif Abuadbba, Yansong Gao +2
Split learning (SL) enables data privacy preservation by allowing clients to collaboratively train a deep learning model with the server without sharing raw data. However, SL still…
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 (…
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…