Open access
Aug 2026
Parameter-Efficient Personalized Federated Learning for Accurate Cellular Traffic Prediction
This paper proposes federated clustering with adaptive personalization (FedCAP), a parameter-efficient personalized FL framework that separates cluster-level representation learning from client-level adaptation.
Xingyu Tian, Citong Que, Faisal Nadeem Khan
· Telecom · 0 citations