4 papers
WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks
Adrien Sardi, Marie-Line Alberi Morel, Sara Alouf +2
The widespread adoption of Artificial Intelligence (AI) has led to increasing concerns about energy consumption, yet there is a lack of standardized methodologies to accurately est…
Small is Sufficient: Reducing the World AI Energy Consumption Through Model Selection
Tiago da Silva Barros, Frédéric Giroire, Ramon Aparicio-Pardo +1
The energy consumption and carbon footprint of Artificial Intelligence (AI) have become critical concerns due to rising costs and environmental impacts. In response, a new trend in…
Attribute Inference Attacks for Federated Regression Tasks
Francesco Diana, Othmane Marfoq, Chuan Xu +3
Federated Learning (FL) enables multiple clients, such as mobile phones and IoT devices, to collaboratively train a global machine learning model while keeping their data localized…
Local Model Reconstruction Attacks in Federated Learning and their Uses
Ilias Driouich, Chuan Xu, Giovanni Neglia +2
In this paper, we initiate the study of local model reconstruction attacks for federated learning, where a honest-but-curious adversary eavesdrops the messages exchanged between a…