most citedFedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2024★ 3 cited

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models

Rui Ye, Rui Ge, Xinyu Zhu +5

Federated learning has enabled multiple parties to collaboratively train large language models without directly sharing their data (FedLLM). Following this training paradigm, the c…