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

Name: FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models
Uploaded: 2026-10-08T02:53:39.583482+00:00
Duration: 997 s
Description: FedCoT enhances large language model reasoning in federated learning by dynamically selecting the best reasoning path from multiple candidates locally. Clients generate several paths, and a lightweight discriminator chooses the most promising one based on local data. This method improves accuracy and interpretability while respecting privacy constraints.

FedCoT enhances large language model reasoning in federated learning by dynamically selecting the best reasoning path from multiple candidates locally. Clients generate several paths, and a lightweight discriminator chooses the most promising one based on local data. This method improves accuracy and interpretability while respecting privacy constraints.

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