51 citations · 198 across the 17 of their papers we have counts for
4 papers · 1 filter
A VHetNet-Enabled Asynchronous Federated Learning-Based Anomaly Detection Framework for Ubiquitous IoT
Weili Wang, Omid Abbasi, Halim Yanikomeroglu +3
Anomaly detection for the Internet of Things (IoT) is a major intelligent service required by many fields, including intrusion detection, device-activity analysis, and security sup…
FLSTRA: Federated Learning in Stratosphere
Amin Farajzadeh, Animesh Yadav, Omid Abbasi +2
We propose a federated learning (FL) in stratosphere (FLSTRA) system, where a high altitude platform station (HAPS) facilitates a large number of terrestrial clients to collaborati…
HAPS for 6G Networks: Potential Use Cases, Open Challenges, and Possible Solutions
Omid Abbasi, Animesh Yadav, Halim Yanikomeroglu +3
High altitude platform station (HAPS), which is deployed in the stratosphere at an altitude of 20-50 kilometres, has attracted much attention in recent years due to their large foo…
VHetNets for AI and AI for VHetNets: An Anomaly Detection Case Study for Ubiquitous IoT
Weili Wang, Omid Abbasi, Halim Yanikomeroglu +3
Vertical heterogenous networks (VHetNets) and artificial intelligence (AI) play critical roles in 6G and beyond networks. This article presents an AI-native VHetNets architecture t…