Abstract: This paper investigates the impact of client and server learning rates on training deep neural networks in Federated Learning (FL). While previous research has primarily focused on ...

Battlefield 6 Season 2's Contaminated map is fine and beautiful, but it's not going to be enough to win players back.

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Abstract: Spatial-spectral radio map estimation (RME) from sparsely deployed sensors can be viewed as a tensor learning problem. Among tensor models, the block-term decomposition (BTD) model is ...