activity
20192026
most citedA Crowdsourcing Framework for On-Device Federated Learning

326 citations · 754 across the 39 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.NI2021

Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing

Yan Kyaw Tun, Tri Nguyen Dang, Kitae Kim +3

Recently, unmanned aerial vehicles (UAVs) assisted multi-access edge computing (MEC) systems emerged as a promising solution for providing computation services to mobile users outs…

cs.NI2021★ 28 cited

Trajectory Optimization and Phase-Shift Design in IRS Assisted UAV Network for High Speed Trains

Yu Min Park, Yan Kyaw Tun, Zhu Han +1

The recent trend towards the high-speed transportation system has spurred the development of high-speed trains (HSTs). However, enabling HST users with seamless wireless connectivi…

cs.NI2021

A Business Model for Resource Sharing in Cell-Free UAVs-Assisted Wireless Networks

Yan Kyaw Tun, Yu Min Park, Tra Huong Thi Le +2

Unmanned aerial vehicles (UAVs) are widely deployed to enhance the wireless network capacity and to provide communication services to mobile users beyond the infrastructure coverag…

cs.IT2021★ 7 cited

Ruin Theory for User Association and Energy Optimization in Multi-access Edge Computing

Do Hyeon Kim, Aunas Manzoor, Madyan Alsenwi +3

In this correspondence, a novel framework is proposed for analyzing data offloading in a multi-access edge computing system. Specifically, a two-phase algorithm, is proposed, inclu…

cs.NI2021

A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars

Latif U. Khan, Yan Kyaw Tun, Madyan Alsenwi +3

Sixth-Generation (6G)-based Internet of Everything applications (e.g. autonomous driving cars) have witnessed a remarkable interest. Autonomous driving cars using federated learnin…