Personalized Federated Learning (FL) is an emerging research field in FL that learns easily adaptable global model the presence of data heterogeneity among clients. However, one main challenges for personalized heavy reliance on clients’ computing resources to calculate higher-order gradients since client segregated from server ensure privacy. To resolve this, we focus a problem setting where m...