37 citations · 77 across the 19 of their papers we have counts for
8 papers · 1 filter
Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks
Yu Qiao, Apurba Adhikary, Kitae Kim +3
Federated learning (FL) is a distributed training technology that enhances data privacy in mobile edge networks by allowing data owners to collaborate without transmitting raw data…
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…
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…
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…
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…
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…
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…
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…