79 citations · 370 across the 33 of their papers we have counts for
3 papers · 1 filter
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…
Automatic Trade-off Adaptation in Offline RL
Phillip Swazinna, Steffen Udluft, Thomas Runkler
Recently, offline RL algorithms have been proposed that remain adaptive at runtime. For example, the LION algorithm \cite{lion} provides the user with an interface to set the trade…
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…