From LLMs to Edge: Parameter-Efficient Fine-Tuning on Edge Devices

Georg Slamanig, Francesco Corti, Olga Saukh

Parameter-efficient fine-tuning (PEFT) methods reduce the computational costs of updating deep learning models by minimizing the number of additional parameters used to adapt a mod…