Skip2-LoRA is our proposed lightweight finetuning method for DNN/CNN models. This video demonstrates its FPGA-based acceleration and classification accuracy. In this demo, the on-device finetuning is completed in 0.34 seconds, enabling a continous learning on resource-limited edge devices.