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 ...
This submission is currently being researched & evaluated! You can help confirm this entry by contributing facts, media, and other evidence of notability and mutation. On February 2nd, 2026, the ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...