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 …
on ML-based training and serving systems using pre-trained models to render predictions …
Combining Cloud and Mobile Computing for Machine Learning
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 …
are also growing in size. This trend creates problems for mobile devices due to limitations …
Modipick: Sla-aware accuracy optimization for mobile deep inference
Mobile applications are increasingly leveraging complex deep learning models to deliver
features, eg, image recognition, that require high prediction accuracy. Such models can be …
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 …
that requires both extensive knowledge and experience, as well as a degree of creativity that …