Continuous Learning for Lightweight Machine Learning Inference at the Edge
With the proliferation of edge devices such as mobile phones, consumer robots, drones, wearables, and IoT devices, the generation of data at the edge of the internet network has been increasing exponentially. Machine Learning (ML) models, particularly Deep Neural Networks (DNNs), have the ability to...
| Egile nagusia: | |
|---|---|
| Beste egile batzuk: | |
| Formatua: | Thesis |
| Argitaratua: |
Massachusetts Institute of Technology
2023
|
| Sarrera elektronikoa: | https://hdl.handle.net/1721.1/152866 |