FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuning

Sijing Xie, Dingzhu Wen, Changsheng You +3

Fine-tuning (FT) large language models (LLMs) is crucial for adapting general-purpose models to specific tasks, enhancing accuracy and relevance with minimal resources. To further…