activity
20202024
most citedTowards Energy Efficient Distributed Federated Learning for 6G Networks

48 citations · 86 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR20242 cited

AI-Driven Intrusion Detection Systems (IDS) on the ROAD Dataset: A Comparative Analysis for Automotive Controller Area Network (CAN)

Lorenzo Guerra, Linhan Xu, Paolo Bellavista +4

The integration of digital devices in modern vehicles has revolutionized automotive technology, enhancing safety and the overall driving experience. The Controller Area Network (CA…

cs.NI202230 cited

Industry 5.0 is Coming: A Survey on Intelligent NextG Wireless Networks as Technological Enablers

Shah Zeb, Aamir Mahmood, Sunder Ali Khowaja +5

Industry 5.0 vision, a step toward the next industrial revolution and enhancement to Industry 4.0, envisioned the new goals of resilient, sustainable, and human-centric approaches…

cs.NI2022

IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G

Sunder Ali Khowaja, Kapal Dev, Parus Khuwaja +4

In this article, we present our vision of preamble detection in a physical random access channel for next-generation (Next-G) networks using machine learning techniques. Preamble d…

cs.LG202248 cited

Towards Energy Efficient Distributed Federated Learning for 6G Networks

Sunder Ali Khowaja, Kapal Dev, Parus Khuwaja +1

The provision of communication services via portable and mobile devices, such as aerial base stations, is a crucial concept to be realized in 5G/6G networks. Conventionally, IoT/ed…

cs.NI20206 cited

SoK: Beyond IoT MUD Deployments -- Challenges and Future Directions

Angelo Feraudo, Poonam Yadav, Richard Mortier +2

Due to the advancement of IoT devices in both domestic and industrial environments, the need to incorporate a mechanism to build accountability in the IoT ecosystem is paramount. I…