SCALE introduces a sensitivity-aware federated unlearning method with adaptive sparsification and freshness optimization to achieve better forgetting performance in MEC systems than prior baselines.
Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation,
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SCALE: Sensitivity-Aware Federated Unlearning with Information Freshness Optimization for Mobile Edge Computing
SCALE introduces a sensitivity-aware federated unlearning method with adaptive sparsification and freshness optimization to achieve better forgetting performance in MEC systems than prior baselines.