MuLoRA: Spectrally Balanced Low-Rank Adaptation for Continual Learning
arXiv:2610.02283v1 Announce Type: new Abstract: Low-rank adaptation (LoRA) provides a parameter-efficient approach to continual learning, but its nominal rank can conceal a loss of effective adaptation capacity. We identify \emph{spectral plasticity collapse}: during sequential adaptation, update e…
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- 2026-10-05 04:00 · arXiv cs.LG
MuLoRA: Spectrally Balanced Low-Rank Adaptation for Continual Learning