Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning

概要

arXiv:2605.05769v1 Announce Type: cross Abstract: Differentially private federated fine-tuning of large models with LoRA suffers from aggregation error caused by LoRA's multiplicative structure, which is further amplified by DP noise and degrades both stability and accuracy. Existing remedies apply…