March 8, 2024, 5:41 a.m. | Xiaofan Yu, Anthony Thomas, Ivannia Gomez Moreno, Louis Gutierrez, Tajana Rosing

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.04759v1 Announce Type: new
Abstract: On-device learning has emerged as a prevailing trend that avoids the slow response time and costly communication of cloud-based learning. The ability to learn continuously and indefinitely in a changing environment, and with resource constraints, is critical for real sensor deployments. However, existing designs are inadequate for practical scenarios with (i) streaming data input, (ii) lack of supervision and (iii) limited on-board resources. In this paper, we design and deploy the first on-device lifelong learning …

arxiv beyond computing cs.lg cs.ne edge intelligence the edge type

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