32 citations · 60 across the 7 of their papers we have counts for
5 papers · 1 filter
On-Device Continual Learning for Unsupervised Visual Anomaly Detection in Dynamic Manufacturing
Haoyu Ren, Kay Koehle, Kirill Dorofeev +1
In modern manufacturing, Visual Anomaly Detection (VAD) is essential for automated inspection and consistent product quality. Yet, increasingly dynamic and flexible production envi…
On-device Online Learning and Semantic Management of TinyML Systems
Haoyu Ren, Xue Li, Darko Anicic +1
Recent advances in Tiny Machine Learning (TinyML) empower low-footprint embedded devices for real-time on-device Machine Learning. While many acknowledge the potential benefits of…
TinyMetaFed: Efficient Federated Meta-Learning for TinyML
Haoyu Ren, Xue Li, Darko Anicic +1
The field of Tiny Machine Learning (TinyML) has made substantial advancements in democratizing machine learning on low-footprint devices, such as microcontrollers. The prevalence o…
TinyReptile: TinyML with Federated Meta-Learning
Haoyu Ren, Darko Anicic, Thomas A. Runkler
Tiny machine learning (TinyML) is a rapidly growing field aiming to democratize machine learning (ML) for resource-constrained microcontrollers (MCUs). Given the pervasiveness of t…
TinyOL: TinyML with Online-Learning on Microcontrollers
Haoyu Ren, Darko Anicic, Thomas Runkler
Tiny machine learning (TinyML) is a fast-growing research area committed to democratizing deep learning for all-pervasive microcontrollers (MCUs). Challenged by the constraints on…