3 papers
cs.CR2026
trasgoDP: An Open Source Framework for Releasing Noised Tabular Microdata under Local Differential Privacy
Judith Sáinz-Pardo Díaz, Álvaro López García
trasgoDP is a modular, open-source, and easy-to-use Python framework for releasing tabular microdata under ε-local differential privacy guarantees, as well as location data under g…
cs.CR2026
Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning
Judith Sáinz-Pardo Díaz, Álvaro López García
The growing development of artificial intelligence based solutions, together with privacy legislation, has driven the rise of the so-called privacy preserving machine learning arch…
cs.LG2025
Exploring Federated Learning for Thermal Urban Feature Segmentation -- A Comparison of Centralized and Decentralized Approaches
Leonhard Duda, Khadijeh Alibabaei, Elena Vollmer +11
Federated Learning (FL) is an approach for training a shared Machine Learning (ML) model with distributed training data and multiple participants. FL allows bypassing limitations o…