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FATE-LLM: A Industrial Grade Federated Learning Framework for Large
  Language Models

FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models

16 October 2023
Tao Fan
Yan Kang
Guoqiang Ma
Weijing Chen
Wenbin Wei
Lixin Fan
Qiang Yang
ArXivPDFHTML

Papers citing "FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models"

9 / 9 papers shown
Title
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning
Linda Scheu-Hachtel
Jasmin Zalonis
26
0
0
09 May 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Mahnoosh Alizadeh
Ramtin Pedarsani
ALM
64
0
0
26 Jan 2025
Data Quality Control in Federated Instruction-tuning of Large Language Models
Data Quality Control in Federated Instruction-tuning of Large Language Models
Yaxin Du
Rui Ye
Fengting Yuchi
W. Zhao
Jingjing Qu
Y. Wang
Siheng Chen
ALM
FedML
45
0
0
15 Oct 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
35
41
0
09 Jul 2024
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security
Youyang Qu
Ming Liu
Tianqing Zhu
Longxiang Gao
Shui Yu
Wanlei Zhou
MU
FedML
54
2
0
14 Jun 2024
Horizontal Federated Computer Vision
Horizontal Federated Computer Vision
Paul K. Mandal
Cole Leo
Connor Hurley
FedML
ObjD
23
0
0
31 Dec 2023
Federated Full-Parameter Tuning of Billion-Sized Language Models with
  Communication Cost under 18 Kilobytes
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
Zhen Qin
Daoyuan Chen
Bingchen Qian
Bolin Ding
Yaliang Li
Shuiguang Deng
FedML
32
32
0
11 Dec 2023
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Jingfeng Yang
Hongye Jin
Ruixiang Tang
Xiaotian Han
Qizhang Feng
Haoming Jiang
Bing Yin
Xia Hu
LM&MA
125
614
0
26 Apr 2023
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
236
804
0
14 Oct 2021
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