In the past two decades, impact evaluation has become an unavoidable topic in the social sector. Yet beyond the discourse on how to measure social impact lies a structural problem: We are not ...

Abstract: Quantum Federated Learning (QFL) recently becomes a promising approach with the potential to revolutionize Machine Learning (ML). It merges the established strengths of classical Federated ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...