MLIoT: An end-to-end machine learning system for the Internet-of-Things

S Boovaraghavan, A Maravi, P Mallela… - Proceedings of the …, 2021 - dl.acm.org
Modern Internet of Things (IoT) applications, from contextual sensing to voice assistants, rely
on ML-based training and serving systems using pre-trained models to render predictions …

Combining Cloud and Mobile Computing for Machine Learning

R Xu, T Zhang - arXiv preprint arXiv:2402.04880, 2024 - arxiv.org
Although the computing power of mobile devices is increasing, machine learning models
are also growing in size. This trend creates problems for mobile devices due to limitations …

Modipick: Sla-aware accuracy optimization for mobile deep inference

SS Ogden, T Guo - arXiv preprint arXiv:1909.02053, 2019 - arxiv.org
Mobile applications are increasingly leveraging complex deep learning models to deliver
features, eg, image recognition, that require high prediction accuracy. Such models can be …

[PDF][PDF] The Three Pillars of Machine-Based Programming

A SOLAR-LEZAMA - researchgate.net
Programming, especially at the highest professional levels, is a cognitively demanding task
that requires both extensive knowledge and experience, as well as a degree of creativity that …