The paper proposes BAFDP, an asynchronous Byzantine-robust federated learning algorithm with local differential privacy, and reports superior traffic prediction accuracy over eight baselines on three datasets.
HCP: Heterogeneous computing platform for federated learning based collaborative content caching towards 6G networks,
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Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning
The paper proposes BAFDP, an asynchronous Byzantine-robust federated learning algorithm with local differential privacy, and reports superior traffic prediction accuracy over eight baselines on three datasets.