Human communication has a multi-modal and multi-affect nature.

The five datasets used cover a wide range of respiratory medical conditions.

However,giventhesafety-critical nature of healthcare applications, it is pivotal to also ensure openness and replicability foranyproposed foundation model solution.

We provide theoretical analysis on the convergence of Flow and empirically demonstrate the superiority of Flow in improving clients' accuracy compared

Data augmentation has emerged asaneffectivedata pre-processing ordata transformation step to mitigateoverfitting [31],toencourage local smoothness [57],andtoimprovegeneralization [6]in machine learning pipelines such as deep neural networks.