Open access
2026
HEDM-KD: A Parallel Heterogeneous Knowledge Distillation Framework for Class-Imbalanced Intrusion Detection
With its lightweight design, HEDM-KD effectively mitigates the impact of class imbalance and demonstrates potential for improving detection robustness in resource-constrained scenarios.
Yan-Song Li, Bin Gao, Qian Wang
· IEEE Access · 0 citations