Search Results for author:
Found 2 papers, 0 papers with code
Federated Learning for Blind Image Super-Resolution
This distinction is crucial as it circumvents the need to precisely model real-world degradations, which limits contemporary blind image SR research.
Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data
Anomaly detection in real-world scenarios poses challenges due to dynamic and often unknown anomaly distributions, requiring robust methods that operate under an open-world assumption.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
