1.4k citations · 2.3k across the 30 of their papers we have counts for
10 papers · 1 filter
Leveraging Vision Transformers for Enhanced Classification of Emotions using ECG Signals
Pubudu L. Indrasiri, Bipasha Kashyap, Pubudu N. Pathirana
Biomedical signals provide insights into various conditions affecting the human body. Beyond diagnostic capabilities, these signals offer a deeper understanding of how specific org…
Domain-Adapted Granger Causality for Real-Time Cross-Slice Attack Attribution in 6G Networks
Minh K. Quan, Pubudu N. Pathirana
Cross-slice attack attribution in 6G networks faces the fundamental challenge of distinguishing genuine causal relationships from spurious correlations in shared infrastructure env…
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan, Pubudu N. Pathirana, Mayuri Wijayasundara +5
The integration of machine learning (ML) in cyber physical systems (CPS) is a complex task due to the challenges that arise in terms of real-time decision making, safety, reliabili…
Quantum-Inspired Genetic Algorithm for Robust Source Separation in Smart City Acoustics
Minh K. Quan, Mayuri Wijayasundara, Sujeeva Setunge +1
The cacophony of urban sounds presents a significant challenge for smart city applications that rely on accurate acoustic scene analysis. Effectively analyzing these complex sounds…
Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation
Kanishka Ranaweera, Azadeh Ghari Neiat, Xiao Liu +2
Federated learning (FL) has emerged as a promising paradigm in machine learning, enabling collaborative model training across decentralized devices without the need for raw data sh…
Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data
Kanishka Ranaweera, Dinh C. Nguyen, Pubudu N. Pathirana +4
In the era of data-driven machine-learning applications, privacy concerns and the scarcity of labeled data have become paramount challenges. These challenges are particularly prono…