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cs.LG2026
Lethe: Link Inference Attacks For Evaluation of Edge Unlearning Methods
Andrea D'Angelo, Francesco Gullo, Davide Mottin +2
Graph Unlearning (GU) aims to remove the influence of specific training data from a Graph Neural Network without retraining anew. While most methods address removal of nodes and fe…
cs.LG2023
Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development
Francesca Marzi, Giordano d'Aloisio, Antinisca Di Marco +1
The problem of predicting the training time of machine learning (ML) models has become extremely relevant in the scientific community. Being able to predict a priori the training t…