3 papers
cs.LG2025
pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data
Zhou Ni, Masoud Ghazikor, Morteza Hashemi
Traditional Federated Learning (FL) approaches often struggle with data heterogeneity across clients, leading to suboptimal model performance for individual clients. To address thi…
cs.IT2024
Interference-Aware Queuing Analysis for Distributed Transmission Control in UAV Networks
Masoud Ghazikor, Keenan Roach, Kenny Cheung +1
In this paper, we investigate the problem of distributed transmission control for unmanned aerial vehicles (UAVs) operating in unlicensed spectrum bands. We develop a rigorous inte…
cs.IT2023
Exploring the Interplay of Interference and Queues in Unlicensed Spectrum Bands for UAV Networks
Masoud Ghazikor, Keenan Roach, Kenny Cheung +1
In this paper, we present an analytical framework to explore the interplay of signal interference and transmission queue management, and their impacts on the performance of unmanne…