MineDetect combines history-averaged gradient similarity, variance, and distance thresholds to flag sign-flip, noise, and unreliable clients in federated learning, but its headline accuracy gain is not borne out by the reported tables.
Predicting battery levels of sensor nodes using reinforcement learning in harsh underground mining environments,
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Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations
MineDetect combines history-averaged gradient similarity, variance, and distance thresholds to flag sign-flip, noise, and unreliable clients in federated learning, but its headline accuracy gain is not borne out by the reported tables.