11 citations · 32 across the 16 of their papers we have counts for
4 papers · 1 filter
Detecting False Data Injection and Unstable Operation in Smart Grid via System-Aware Graph Boundary Learning
Emad Efatinasab, Denis Donadel, Mirco Rampazzo +1
Cyber-physical power systems increasingly rely on data-driven tools to detect instability and support reliable grid operation. However, reliable stability prediction is difficult w…
Energy-Aware LoRaWAN Design for Long-Lived Agricultural Sensing: Insights from a Multi-Year Deployment and Controlled Platform Comparison
Carl Dickinson, Shishir Nagaraja, Chuadhry Mujeeb Ahmed
Agricultural IoT nodes are often far from mains power and have limited access for maintenance. Therefore, IoT deployments benefit from low-power, long-range communication such as L…
Chained Attacks on Drone-Based Federated Learning: From Network Disruption to Device Impersonation
Suleiman Muhammad Sabo, Hamed Alkharsh, Peilin Li +4
Edge Intelligence (EI) has emerged as a transformative model for mission-critical unmanned platforms, such as drone swarms, by enabling collaborative model training at the network…
Adaptive Joint Compression and Synchronisation in Federated Split Learning for IoT Rainfall Prediction
Wenjie Ding, Yi Sin Lin, Jiale Liu +8
Federated split learning (FSL) enables collaborative training across bandwidth-constrained IoT devices, but repeated activation and gradient exchange creates a communication bot-tl…