FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning

Rishub Tamirisa, John Won, Chengjun Lu +2

Recent advancements in federated learning (FL) seek to increase client-level performance by fine-tuning client parameters on local data or personalizing architectures for the local…