activity
20172022
most citedEnabling and Emerging Technologies for Social Distancing: A Comprehensive Survey and Open Problems

167 citations · 187 across the 20 of their papers we have counts for

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Showing 2021Show all

11 papers · 1 filter

cs.IT2021

Enabling Large-Scale Federated Learning over Wireless Edge Networks

Thinh Quang Dinh, Diep N. Nguyen, Dinh Thai Hoang +2

Major bottlenecks of large-scale Federated Learning(FL) networks are the high costs for communication and computation. This is due to the fact that most of current FL frameworks on…

cs.IT20211 cited

A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks

W. Zhu, H. D. Tuan, E. Dutkiewicz +2

A multi-user fog radio access network (F-RAN) is designed for supporting content-centric services. The requested contents are partitioned into sub-contents, which are then 'beam- f…

cs.IT2021

Secure Swarm UAV-assisted Communications with Cooperative Friendly Jamming

Hanh Dang-Ngoc, Diep N. Nguyen, Khuong Ho-Van +4

This article proposes a cooperative friendly jamming framework for swarm unmanned aerial vehicle (UAV)-assisted amplify-and-forward (AF) relaying networks with wireless energy harv…

cs.NI20211 cited

Joint Speed Control and Energy Replenishment Optimization for UAV-assisted IoT Data Collection with Deep Reinforcement Transfer Learning

Nam H. Chu, Dinh Thai Hoang, Diep N. Nguyen +2

Unmanned aerial vehicle (UAV)-assisted data collection has been emerging as a prominent application due to its flexibility, mobility, and low operational cost. However, under the d…

cs.DC2021

Jointly Optimize Coding and Node Selection for Distributed Computing over Wireless Edge Networks

Cong T. Nguyen, Diep N. Nguyen, Dinh Thai Hoang +2

This work aims to jointly optimize the coding and node selection to minimize the processing time for distributed computing tasks over wireless edge networks. Since the joint optimi…

cs.NI2021

Federated Learning Framework with Straggling Mitigation and Privacy-Awareness for AI-based Mobile Application Services

Yuris Mulya Saputra, Diep N. Nguyen, Dinh Thai Hoang +3

In this work, we propose a novel framework to address straggling and privacy issues for federated learning (FL)-based mobile application services, taking into account limited compu…