Dong‐Seong Kim

MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification

2020 · IEEE Communications Letters

This letter proposes a cost-efficient convolutional neural network (CNN) for robust automatic modulation classification (AMC) deployed for cognitive radio services of modern communication systems. The network architecture is designed with several specific convolutional blocks to …

Explainable Artificial Intelligence (XAI) for Intrusion Detection and Mitigation in Intelligent Connected Vehicles: A Review

2023 · Applied Sciences

The potential for an intelligent transportation system (ITS) has been made possible by the growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration of IoT and ITS—known as the …

Trimmed Averaging for Efficient Federated Learning in the Internet of Things

2024

The adoption of Federated Learning (FL) for decen-tralised model training has enabled workload distribution across multiple client devices. However, extreme values and outliers in the model updates from distributed devices often challenge this approach. This …