Machine Learning & IoT
This is a brief presentation of my Master’s Thesis, which explores the sharing of machine learning models among IoT devices by leveraging data similarity and geographic proximity
Author:
Michael Mwaruah
Advisors:
Sergi Trilles (Professor)
Marco Painho (Professor)
Ana Christina Costa (Professor)
Author:
Michael Mwaruah
Advisors:
Sergi Trilles (Professor)
Marco Painho (Professor)
Ana Christina Costa (Professor)
Description:
This is my Master thesis presentation on the sharing of machine learning models within IoT Communities of Interest by leveraging data similarity and geographic location. The goal is to enable more efficient and context-aware model reuse across distributed IoT networks, improving performance and reducing redundancy.Full project available here
Please feel free to contact me at my email address or through my LinkedIn Account below.
mikesirya@gmail.com