Relay-assisted federated edge learning: performance analysis and system optimization

L Chen, L Fan, X Lei, TQ Duong… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, we study a relay-assisted federated edge learning (FEEL) network under
latency and bandwidth constraints. In this network, users collaboratively train a global model …

A Systematic Map** Study of UAV-Enabled Mobile Edge Computing for Task Offloading

AA Baktayan, AT Zahary, IA Al-Baltah - IEEE Access, 2024 - ieeexplore.ieee.org
Utilizing Unmanned Aerial Vehicles (UAVs) as flying edge nodes to support task offloading
from terminal devices has recently attracted significant research attention. However, the …

Profit maximization in cache-aided intelligent computing networks

R Zhao, F Zhu, M Tang, L He - Physical Communication, 2023 - Elsevier
This paper focuses on the profit maximization problem in a reconfigurable intelligent
surfaces (RIS) aided computing network, where multiple heterogeneous users offload their …

Scoring aided federated learning on long-tailed data for wireless IoMT based healthcare system

L Zhang, Y Wu, L Chen, L Fan… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
In this article, we propose a novel federated learning (FL) framework for wireless Internet of
Medical Things (IoMT) based healthcare systems, where multiple mobile clients and one …

Intelligent resource allocation scheme for cloud-edge-end framework aided multi-source data stream

Y Wu, C Cai, X Bi, J **a, C Gao, Y Tang… - EURASIP Journal on …, 2023 - Springer
To support multi-source data stream generated from Internet of Things devices, edge
computing emerges as a promising computing pattern with low latency and high bandwidth …