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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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17 papers · 1 filter

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.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…

cs.NI2021

Defeating Super-Reactive Jammers With Deception Strategy: Modeling, Signal Detection, and Performance Analysis

Nguyen Van Huynh, Diep N. Nguyen, Dinh Thai Hoang +3

This paper develops a novel framework to defeat a super-reactive jammer, one of the most difficult jamming attacks to deal with in practice. Specifically, the jammer has an unlimit…

cs.NI2021

Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks

Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen +1

Unlike theoretical distributed learning (DL), DL over wireless edge networks faces the inherent dynamics/uncertainty of wireless connections and edge nodes, making DL less efficien…

cs.NI2021

Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles

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

Federated learning (FL) can empower Internet-of-Vehicles (IoV) networks by leveraging smart vehicles (SVs) to participate in the learning process with minimum data exchanges and pr…

cs.NI2020

Fast or Slow: An Autonomous Speed Control Approach for UAV-assisted IoT Data Collection Networks

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

Unmanned Aerial Vehicles (UAVs) have been emerging as an effective solution for IoT data collection networks thanks to their outstanding flexibility, mobility, and low operation co…