GreenDL: Green Deep Learning for Edge Devices

Status:

active

Start date:

2022-01-01

End date:

2026-01-01

Despite the continuous improvement of deep learning (DL) design and deployment frameworks, an energy-efficient design process guaranteeing user constraints (accuracy, latency, and energy consumption) is still missing from the energy saving perspective.

GreenDL aims to develop theoretical foundations and practical algorithms that (i) enable designing scalable and energy-efficient DL models with low energy footprint and (ii) facilitate fast deployment of complicated DL models for a diverse set of Edge devices satisfying given hardware constraints. To address research challenges, we will design the greenDL framework for energy-efficient design and deployment of DLs on Edge devices. 

Masoud Daneshtalab, Professor

Email: masoud.daneshtalab@mdh.se
Room:
Phone: +4621103111