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cs.LG2025
On the Convergence Rate of LoRA Gradient Descent
Siqiao Mu, Diego Klabjan
The low-rank adaptation (LoRA) algorithm for fine-tuning large models has grown popular in recent years due to its remarkable performance and low computational requirements. LoRA t…
cs.LG2025
Descend or Rewind? Stochastic Gradient Descent Unlearning
Siqiao Mu, Diego Klabjan
Machine unlearning algorithms aim to remove the impact of selected training data from a model without the computational expenses of retraining from scratch. Two such algorithms are…