15 papers
Beamforming and RIS-Aided Ambient Backscatter Communications with Residual-Feature SVM Detection
Aobakwe Makgarapa, Burhan Wafai, Sangarapillai Lambotharan +1
Ambient backscatter communication (AmBC) enables battery-free connectivity by modulating data onto existing radio-frequency (RF) signals, eliminating the need for dedicated power s…
Orthogonal Subspace Projection for Continual Machine Unlearning via SVD-Based LoRA
Yogachandran Rahulamathavan, Nasir Iqbal, Juncheng Hu +1
Continual machine unlearning aims to remove the influence of data that should no longer be retained, while preserving the usefulness of the model on everything else. This setting b…
QuantFL: Sustainable Federated Learning for Edge IoT via Pre-Trained Model Quantisation
Charuka Herath, Yogachandran Rahulamathavan, Varuna De Silva +1
Federated Learning (FL) enables privacy-preserving intelligence on Internet of Things (IoT) devices but incurs a significant carbon footprint due to the high energy cost of frequen…
Multi-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems
Marios Aristodemou, Yasaman Omid, Sangarapillai Lambotharan +2
The integration of satellite communication networks with next-generation (NG) technologies is a promising approach towards global connectivity. However, the quality of services is…
DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation
Charuka Herath, Yogachandran Rahulamathavan, Varuna De Silva +1
Federated Learning (FL) enables decentralized model training without sharing raw data, offering strong privacy guarantees. However, existing FL protocols struggle to defend against…
LLM-Enhanced Space-Air-Ground-Sea Integrated Networks
Halvin Yang, Sangarapillai Lambotharan, Mahsa Derakhshani +1
The space-air-ground-sea integrated networking (SAGSIN) concept promises seamless global multimedia connectivity, yet two obstacles still limit its practical deployment. Firstly, h…