FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models

Excerpt

arXiv:2508.10020v2 Announce Type: replace Abstract: Enhancing LLM reasoning in federated settings is nontrivial due to stringent computational, communication, and privacy constraints, especially in healthcare, where clinically consequential decisions require not only accuracy but also interpretable, auditable rationales to meet safety, accountability, and regulatory requirements. Conventional federated fine-tuning largely imitates final answers rather than cultivating step-by-step reasoning, oft