DLink distills layer-wise knowledge from EEG foundation models via a lightweight router and spectral alignment to produce compact students that narrow the gap to full EFMs on four benchmarks while reducing parameters, FLOPs, and inference latency.
A multi-view spectral-spatial-temporal masked autoencoder for decoding emotions with self- supervised learning
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DLink: Distilling Layer-wise and Dominant Knowledge from EEG Foundation Models
DLink distills layer-wise knowledge from EEG foundation models via a lightweight router and spectral alignment to produce compact students that narrow the gap to full EFMs on four benchmarks while reducing parameters, FLOPs, and inference latency.