We propose a pixel-level out-of-distribution detection algorithm, called PixOOD, which does not require training on samples of anomalous data and is not designed for a specific application which avoids traditional training biases. In order to ...

Active client selection (ACS) strategically identifies clients for model updates during each training round of federated learning. In scenarios with limited communication resources, ACS emerges as a superior alternative to random client selection,...

Recent advances in text-to-image model customization have underscored the importance of integrating new concepts with a few examples. Yet, these progresses are largely confined to widely recognized subjects, which can be learned with relative ease ...