Characterization of energy need of Machine Learning algorithms
Reference persons MICHELA MEO
Research Groups Telecommunication Networks Group
Description The objective of the thesis is the analysis of energy cost of some algorithms of ML. By identifying the energy need of various tasks (training, testing, prediction, decision making, ...), it is then possible to design solutions that improve energy efficiency by adapting tasks to energy availability and cost.
Required skills - Python
- Buona conoscenza di alcuni algoritmi di ML
Notes An average exam score of more than 28 is requested.
Deadline 17/02/2023 PROPONI LA TUA CANDIDATURA