1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Exact Unlearning of Finetuning Data via Model Merging at Scale
Kevin Kuo, Amrith Setlur, Kartik Srinivas +2
Approximate unlearning has gained popularity as an approach to efficiently update an LLM so that it behaves (roughly) as if it was not trained on a subset of data to begin with. Ho…
cs.LG2024★ 1 cited
Federated LoRA with Sparse Communication
Kevin Kuo, Arian Raje, Kousik Rajesh +1
Low-rank adaptation (LoRA) is a natural method for finetuning in communication-constrained machine learning settings such as cross-device federated learning. Prior work that has st…