Parameter-Efficient Personalized Federated Learning for Accurate Cellular Traffic Prediction
Xing-Yu Tian, Ci-Tong Que, F. Nadeem et al.
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AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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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.
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