REDUS prunes low-weight, correctly classified samples from each training epoch, reporting 72.6% time savings at 1.62% accuracy loss on the CICIoT2023 IoT attack dataset.
HCP: heterogeneous computing platform for federated learning based collaborative content caching towards 6g networks,
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REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks
REDUS prunes low-weight, correctly classified samples from each training epoch, reporting 72.6% time savings at 1.62% accuracy loss on the CICIoT2023 IoT attack dataset.