Year: 2024
Type: article
Abstract: Editor’s notes: This article introduces BiomedBench, the first benchmark suite specifically designed for evaluating TinyML applied in the context of low-power wearable biomedical devices. BiomedBench represents a valuable step toward reproducible evaluation in wearable TinyML and will serve as a foundational benchmark suite for future research and development in this rapidly growing field. —Theocharis Theocharides, University of Cyprus, Cyprus —Marian Verhelst, KU Leuven, Belgium —Vijay Janapa Reddy, Harvard University, USA —Evgeni Gousev, Qualcomm, USA
Source: IEEE Design and Test
Institution: École Polytechnique Fédérale de Lausanne
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: National Science Foundation
Award: G6932832203
OpenAlex ID: W4403510924