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 2024Show all

9 papers · 1 filter

cs.NI2024

Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach

Luyao Zou, Yu Min Park, Chu Myaet Thwal +3

Low Earth orbit (LEO) satellites are capable of gathering abundant Earth observation data (EOD) to enable different Internet of Things (IoT) applications. However, to accomplish an…

cs.NI2024

Enhancing Spectrum Efficiency in 6G Satellite Networks: A GAIL-Powered Policy Learning via Asynchronous Federated Inverse Reinforcement Learning

Sheikh Salman Hassan, Yu Min Park, Yan Kyaw Tun +3

In this paper, a novel generative adversarial imitation learning (GAIL)-powered policy learning approach is proposed for optimizing beamforming, spectrum allocation, and remote use…

cs.ET2024★ 11 cited

Semantic Communication Enabled 6G-NTN Framework: A Novel Denoising and Gateway Hop Integration Mechanism

Loc X. Nguyen, Sheikh Salman Hassan, Yan Kyaw Tun +3

The sixth-generation (6G) non-terrestrial networks (NTNs) are crucial for real-time monitoring in critical applications like disaster relief. However, limited bandwidth, latency, r…

cs.NI2024

Active STAR-RIS Empowered Edge System for Enhanced Energy Efficiency and Task Management

Pyae Sone Aung, Kitae Kim, Yan Kyaw Tun +2

The proliferation of data-intensive and low-latency applications has driven the development of multi-access edge computing (MEC) as a viable solution to meet the increasing demands…

cs.NI2024★ 12 cited

Semantic Enabled 6G LEO Satellite Communication for Earth Observation: A Resource-Constrained Network Optimization

Sheikh Salman Hassan, Loc X. Nguyen, Yan Kyaw Tun +2

Earth observation satellites generate large amounts of real-time data for monitoring and managing time-critical events such as disaster relief missions. This presents a major chall…

cs.IT2024★ 11 cited

Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge Distillation

Loc X. Nguyen, Kitae Kim, Ye Lin Tun +4

Semantic communication, notable for ensuring quality of service by jointly optimizing source and channel coding, effectively extracts data semantics, reduces transmission length, a…

cs.NI2024★ 11 cited

Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approach

Yu Min Park, Sheikh Salman Hassan, Yan Kyaw Tun +3

Non-orthogonal multiple access (NOMA) enables multiple users to share the same frequency band, and simultaneously transmitting and reflecting reconfigurable intelligent surface (ST…

cs.NI2024

Data Service Maximization in Space-Air-Ground Integrated 6G Networks

Nway Nway Ei, Kitae Kim, Yan Kyaw Tun +2

Integrating terrestrial and non-terrestrial networks has emerged as a promising paradigm to fulfill the constantly growing demand for connectivity, low transmission delay, and qual…

cs.NI2024

Joint UAV Deployment and Resource Allocation in THz-Assisted MEC-Enabled Integrated Space-Air-Ground Networks

Yan Kyaw Tun, György Dán, Yu Min Park +1

Multi-access edge computing (MEC)-enabled integrated space-air-ground (SAG) networks have drawn much attention recently, as they can provide communication and computing services to…