Dual prompt personalized federated learning in foundation models

Problem formulation

We consider a federated learning scenario involving a set of K clients denoted as Clinent = {client₁, client₂,…,client_K}. Each client \(client_i\) possesses a private local dataset \(D_i\), which is retained locally and is…