2025
EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models
EMNLP 2025
To address data locality and privacy restrictions, Federated Learning (FL) has recently been adopted to fine-tune large language models (LLMs), enabling improved performance on various downstream tasks without requiring aggregated data. However, the repeated exchange of model updates in FL can resul