I'm surprised you copied and pasted all of that without explaining what it means.
Does LoRA perform worse, better or statistically insignificantly different to FullFT?
You aren't able to tell from what you pasted, are you?
There are techniques like PiCa and SVFT which can mitigate much of the loss, though.
I don't recall how I found out about it, but it was either paperswithcode or an LLM research session working through the intruder dimensions problem.
In my Stable Diffusion tests, it substantially improves LoRA training speed and fidelity, though I've got some experiments that seem to even further substantially improve on it by adding learnable rotations of the singular vectors.
The answer is "There's a difference, perhaps", but the GP appeared to imply that LoRA performed worse.
My understanding is that that paper found differences, but did not conclude that the differences were quantifiably better or worse, but this is not what GP's post implied.