Personalized federated learning (PFL) has been widely investigated to address the challenge of data heterogeneity, especially when a single generic model is inadequate in satisfying the diverse performance requirements of local clients simultaneously.

Due to their excellent practical performance, deep learning based methods are today thede facto standard for manyvisual and linguistic learning tasks.