A magazine-style paper proposes combining split learning and knowledge distillation to shrink large language models for IoT devices, with a case study claiming lower training delay and energy use.
TouchPose: Hand pose prediction, depth estimation, and touch classification from capacitive images,
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Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions
A magazine-style paper proposes combining split learning and knowledge distillation to shrink large language models for IoT devices, with a case study claiming lower training delay and energy use.