The paper introduces a novel latent diffusion model that uses local vicinity structures to achieve state-of-the-art domain adaptation, preserving privacy without needing source data during adaptation.

The framework is capable of processing multimodal data with arbitrary missing modalities, providing a flexible solution for AD diagnosis.