arXiv stat.ML
· Papers
Multiview Representation Learning via Distributed Joint Latent Space Structuring
arXiv:2504.18455v2 Announce Type: replace Abstract: We study distributed multiview representation learning, a problem in which $K$ clients each observe a distinct but possibly statistically correlated view. The clients independently extract local representations from their views, which are then used by a central decode