86 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre Inria d'Université Côte d'AzurFR2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Trinity College DublinIE2 papers
- University of AberdeenGB2 papers
- WIMMICS: Web-Instrumented huMan-Machine Interactions, Communities and SemanticsFR2 papers
- Zhejiang UniversityCN2 papers
- ARGO: Apprentissage, graphes et optimisation distribuéeFR1 paper
- Dublin City UniversityIE1 paper
- EPIONE: E-Patient : Images, données & mOdèles pour la médeciNe numériquEFR1 paper
- Technological University DublinIE1 paper
- University of OxfordGB1 paper
- Zhejiang University of Science and TechnologyCN1 paper
3 papers · 1 filter
Evaluating the Energy Consumption of Machine Learning: Systematic Literature Review and Experiments
Charlotte Rodriguez, Laura Degioanni, Laetitia Kameni +2
Monitoring, understanding, and optimizing the energy consumption of Machine Learning (ML) are various reasons why it is necessary to evaluate the energy usage of ML. However, there…
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
Yann Fraboni, Martin Van Waerebeke, Kevin Scaman +3
Machine Unlearning (MU) is an increasingly important topic in machine learning safety, aiming at removing the contribution of a given data point from a training procedure. Federate…
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
Peru Bhardwaj, John Kelleher, Luca Costabello +1
We study the problem of generating data poisoning attacks against Knowledge Graph Embedding (KGE) models for the task of link prediction in knowledge graphs. To poison KGE models,…