Feb. 13, 2024, 5:42 a.m. | Jingwei Zuo George Arvanitakis Mthandazo Ndhlovu Hakim Hacid

cs.LG updates on arXiv.org arxiv.org

Human activity recognition (HAR) is a well-established field, significantly advanced by modern machine learning (ML) techniques. While companies have successfully integrated HAR into consumer products, they typically rely on a predefined activity set, which limits personalizations at the user level (edge devices). Despite advancements in Incremental Learning for updating models with new data, this often occurs on the Cloud, necessitating regular data transfers between cloud and edge devices, thus leading to data privacy issues. In this paper, we propose MAGNETO, …

advanced companies consumer consumer products cs.ai cs.cr cs.lg devices edge edge ai edge devices human incremental machine machine learning modern personalization privacy products recognition set

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