ICT4S 2023
Mon 5 - Sat 10 June 2023 RENNES, France
Tue 6 Jun 2023 15:07 - 15:30 at Amphitheater - Session #2 Chair(s): Daniel Pargman

To address increasing societal concerns regarding privacy and climate, the EU adopted the General Data Protection Regulation (GDPR) and committed to the Green Deal. Considerable research studied the energy efficiency of software and the accuracy of machine learning models trained on anonymised data sets. Recent work began exploring the impact of privacy-enhancing techniques (PET) on \textit{both} the energy consumption and accuracy of the machine learning models, focusing on $k$-anonymity. As synthetic data is becoming an increasingly popular PET, this paper analyses the energy consumption and accuracy of two phases: a) applying privacy-enhancing techniques to the concerned data set, b) training the models on the concerned privacy-enhanced data set. We use two privacy-enhancing techniques: k-anonymisation (using generalisation and suppression) and synthetic data, and three machine-learning models. Each model is trained on each privacy-enhanced data set. Our results show that models trained on k-anonymised data consume less energy than models trained on the original data, with a similar performance regarding accuracy. Models trained on synthetic data have a similar energy consumption and a similar to lower accuracy compared to models trained on the original data.

Tue 6 Jun

Displayed time zone: Brussels, Copenhagen, Madrid, Paris change

14:00 - 15:30
Session #2Journal First / Research Papers at Amphitheater
Chair(s): Daniel Pargman KTH Royal Institute of Technology
14:00
22m
Talk
Just measure IT! – Electricity consumption measurements of electronic devices and estimates of datacenter and network services for one householdResearch Paper
Research Papers
Jens Malmodin Ericsson Research
14:22
22m
Talk
The Impact of Green Feedback on Users' Software UsageJournal First
Journal First
Adel Noureddine LIUPPA, Université de Pau et des Pays de l'Adour, Noëlle Bru Université de Pau et des Pays de l'Adour, Richard Chbeir Université de Pau et des Pays de l'Adour, Martín Diéguez Lodeiro University of Angers
Link to publication
14:45
22m
Talk
Evolution of Kotlin Apps in terms of energy consumption: An Exploratory StudyResearch Paper
Research Papers
Hesham Ahmed Vrije Universiteit Amsterdam, Alina Boshchenko , Niaz Khan Vrije Universiteit Amsterdam, Dmitriy Knyajev Vrije Universiteit Amsterdam, Dinara Garifollina Vrije Universiteit Amsterdam, Gian Luca Scoccia University of L'Aquila, Matias Martinez Universitat Politècnica de Catalunya (UPC), Ivano Malavolta Vrije Universiteit Amsterdam
15:07
22m
Talk
Energy cost and machine learning accuracy impact of k-anonymisation and synthetic data techniquesResearch Paper
Research Papers
Pepijn de Reus University of Amsterdam, Ana Oprescu University of Amsterdam, Koen van Elsen Universiteit van Amsterdam
Pre-print