FedSocket is a recipient-executable knowledge exchange framework for heterogeneous multimodal federated learning. It enables recipient models to execute exchanged knowledge directly, improving accuracy and efficiency. FedSocket combines local and exchanged predictions to achieve better results than independent ensembles or local models alone.