TinyMetaFed: Efficient Federated Meta-Learning for TinyML
2023 ECML PKDD workshop track: Simplification, Compression, Efficiency, and Frugality for Artificial Intelligence (SCEFA) , Torino, Italy
The field of Tiny Machine Learning (TinyML) has made substantial advancements in democratizing machine learning on lowfootprint devices, such as microcontrollers. The prevalence of these miniature devices raises the question of whether aggregating their knowledge can benefit TinyML applications.…
TinyReptile: TinyML with Federated Meta-Learning
2023 International Joint Conference on Neural Networks (IJCNN) , Gold Coast, Australia
Tiny machine learning (TinyML) is a rapidly growing field aiming to democratize machine learning (ML) for resource-constrained microcontrollers (MCUs). Given the pervasiveness of these tiny devices, it is inherent to ask whether TinyML applications can benefit from aggregating their knowledge.…