Knowledge distillation creates a compact neural network for long-term beam tracking in mmWave communications that matches a larger teacher's accuracy with far fewer parameters and shorter input sequences.
Self-disti llation amplifies regularization in Hilbert space,
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Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications
Knowledge distillation creates a compact neural network for long-term beam tracking in mmWave communications that matches a larger teacher's accuracy with far fewer parameters and shorter input sequences.