FIP differs from LoRA in its approach to mitigating catastrophic forgetting. While LoRA maintains the model's parameter proximity, FIP emphasizes functional closeness, leading to superior retention of prior task performance. FIP's approach, focusing on the geometry of the learning landscape, enables it to outperform LoRA in sequential learning tasks, making it a more versatile solution for real-world applications.