Zi-Han Fang

CFLoRA: Federated Fine-tuning of LLMs with Complementary Factors for Error-free Aggregation

Federated low-rank adaptation (LoRA) enables collaborative fine-tuning of large language models without centralizing private client data. Its factorized update, however, creates a structural mismatch in federated averaging: averaging the two LoRA factors separately does not equal averaging their products. Existing exac...