RISE Research Radar

Computer Science Open House 2022-2025

2024

On-device Learning for Secure Internet of Things

Shuai Zhu, Thiemo Voigt, Fatemeh Rahimian, JeongGil Ko

Summary

On-device Learning for Secure Internet of Things. Perform model training on IoT devices for autonomy and security. JamSense use case for self-adaptive jamming detection system. Funded by Vinnova.

Themes

federated-learningiot-security

Keywords

on-device learning, IoT, jamming detection, JamSense, edge ML

Poster

On-device Learning for Secure Internet of Things poster

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