Controllable Heterogeneous Model Aggregation for Personalized Federated Learning

Several methods have emerged to aggregate diverse client models; however, they either lack the ability of personalization, raise privacy and security concerns, need prior knowledge, or ignore the capability and functionality of personalized models.