[2402.11505] Federated Fine-tuning of Large Language Models …
2024年2月18日 · This study introduces FlexLoRA, a simple yet effective aggregation scheme for LLM fine-tuning, which mitigates the ``bucket effect'' in traditional FL that restricts the potential …
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the …
2023年10月4日 · Our study fine-tunes the FLAN-T5 model family, ranging from 80M to 3B parameters, using FL for a text summarization task. We provide a micro-level hardware …
FederatedScope-LLM: A Comprehensive Package for Fine-tuning …
2023年9月1日 · We conduct extensive experiments to validate the effectiveness of FS-LLM and benchmark advanced LLMs with state-of-the-art parameter-efficient fine-tuning algorithms in …
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the …
In our paper, we conduct an end-to-end evaluation for fine-tuning the FLAN-T5 FM family on the network edge. We study energy efficiency potentials throughout FL systems - on clients, in …
longtanle/awesome-federated-LLM-learning - GitHub
Federated Generative Learning with Foundation Models [OpenReview 2023] authors: Jie Zhang, Xiao hua Qi, Shengyuan Pang, Siyuan Pan, Xiaobing Tu, Pengfei Wan, Bo Zhao. datasets: …
FedBiOT: LLM Local Fine-tuning in Federated Learning without ... - GitHub
FederatedScope-LLM (FS-LLM) is a comprehensive package for federated fine-tuning large language models, which provide: A complete end-to-end benchmarking pipeline , automizing …
FederatedScope-LLM: A Comprehensive Package for Fine-tuning …
2024年8月24日 · In this paper, we discuss these challenges and introduce our package FederatedScope-LLM (FS-LLM) as a main contribution, which consists: (1) We build a …
LLM - FederatedScope
2023年9月6日 · FederatedScope-LLM (FS-LLM) is a comprehensive package for federated fine-tuning large language models, which provide: A complete end-to-end benchmarking pipeline , …
FwdLLM: Efficient Federated Finetuning of Large Language
Large Language Models (LLMs) are transforming the landscape of mobile intelligence. Federated Learning (FL), a method to preserve user data privacy, is often employed in fine-tuning LLMs …
Federated Large Language Model: Solutions, Challenges and …
2024年10月23日 · In this article, we present a systematic introduction to the federated large language model (Fed-LLM), a distributed learning of LLM in the FL manner. We first introduce …
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