Author

F. Nadeem

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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.

Xing-Yu Tian, Ci-Tong Que, F. Nadeem et al. · 0 citations