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Jinglong Shen

1 accepted papers

2025

LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach

NeurIPS 2025poster

Fine-tuning large language models (LLMs) poses significant computational burdens, especially in federated learning (FL) settings. We introduce Layer-wise Efficient Federated Fine-tuning (LEFF), a novel method designed to enhance the efficiency of FL fine-tuning while preserving model performance and…

Cited by 0SourceScholar