LoRA-RC: Reservoir Computing with Low-Rank Adaptation
LoRA-RC is proposed, which adapts the recurrent matrix through a low-rank correction driven by streaming prediction errors, and cuts post-drift prediction error by 56% versus a fixed RC and 51% versus readout-only adaptation.
Wen-Bin Wan
· IEEE Control Systems Letters · 0 citations