An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator...

[PDF] arxiv.org

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

R Ye, R Ge, X Zhu, J Chai, Y Du, Y Liu, Y Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Federated learning has enabled multiple parties to collaboratively train large language
models without directly sharing their data (FedLLM). Following this training paradigm, the …
相关文章 所有 2 个版本