2 papers
cs.LG2026
Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy
Júlio Oliveira, Rodrigo Ferreira, André Riker +2
Data privacy and eXplainable Artificial Intelligence (XAI) are two important aspects for modern Machine Learning systems. To enhance data privacy, recent machine learning models ha…
cs.CR2024
Federated Learning under Attack: Improving Gradient Inversion for Batch of Images
Luiz Leite, Yuri Santo, Bruno L. Dalmazo +1
Federated Learning (FL) has emerged as a machine learning approach able to preserve the privacy of user's data. Applying FL, clients train machine learning models on a local datase…