FedHFT: Efficient Federated Finetuning with Heterogeneous Edge Clients

Fatih Ilhan, Selim Furkan Tekin, Tiansheng Huang +6

Fine-tuning pre-trained large language models (LLMs) has become a common practice for personalized natural language understanding (NLU) applications on downstream tasks and domain-…