C-Eval

The 'C-Eval' dataset/benchmark is used to evaluate the performance of Large Language Models (LLMs) in the context of Federated Learning by assessing their ability to handle communication efficiency and gradient compression.

Papers using C-Eval (1)

CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models2024