2 papers
cs.LG2026
Online Continual Learning for Anomaly Detection in IoT under Data Distribution Shifts
Matea Marinova, Shashi Raj Pandey, Junya Shiraishi +3
In this work, we present OCLADS, a novel communication framework with continual learning (CL) for Internet of Things (IoT) anomaly detection (AD) when operating in non-stationary e…
cs.LG2024
Convergence Rate Maximization for Split Learning-based Control of EMG Prosthetic Devices
Matea Marinova, Daniel Denkovski, Hristijan Gjoreski +2
Split Learning (SL) is a promising Distributed Learning approach in electromyography (EMG) based prosthetic control, due to its applicability within resource-constrained environmen…