Caslon Chua

LoPrune: Efficient Data Pruning for LoRA-Based Fine-Tuning of Vision Transformer

Visual models are deployed on many Internet-of-Things (IoT) devices to power a variety of visual applications at the network edge. These models often need to be fine-tuned on-device continually to adapt to changing operating environments timely. However, the computing and energy overheads incurred a