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 large finer-grained affective computing EEG dataset.Scientific Data, 10(1):740, oct
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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.