Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2310.10049
Cited By
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
Re-assign community
ArXiv
PDF
HTML
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
Linda Scheu-Hachtel
Jasmin Zalonis
34
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
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
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
40
43
0
09 Jul 2024
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
Paul K. Mandal
Cole Leo
Connor Hurley
FedML
ObjD
33
0
0
31 Dec 2023
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
Jingfeng Yang
Hongye Jin
Ruixiang Tang
Xiaotian Han
Qizhang Feng
Haoming Jiang
Bing Yin
Xia Hu
LM&MA
125
619
0
26 Apr 2023
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
805
0
14 Oct 2021
1