Guiqiu Liao

FORLA: Federated Object-centric Representation Learning with Slot Attention

Learning efficient visual representations across heterogeneous unlabeled datasets remains a central challenge in federated learning. Effective federated representations require features that are jointly informative across clients while disentangling domain-specific factors without supervision. We in…