BioTrain enables full-network fine-tuning of biosignal AI models on edge MCUs with sub-MB memory and sub-50mW power, delivering up to 35% accuracy gains and 8.1x memory reduction.
TinyTTA: Efficient test-time adaptation via early-exit ensembles on edge devices
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BioTrain: Sub-MB, Sub-50mW On-Device Fine-Tuning for Edge-AI on Biosignals
BioTrain enables full-network fine-tuning of biosignal AI models on edge MCUs with sub-MB memory and sub-50mW power, delivering up to 35% accuracy gains and 8.1x memory reduction.