Most solutions focus on centralized setups or ignore the privacy concerns of distributed setups. This project aims to enhance the privacy protection in distributed MVC without performance deterioration via incorporating contrastive learning to improve the intra-view consensus while introducing new distance metrics to maximize inter-cluster separability.
