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FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language
  Models

FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models

4 June 2024
Tao Fan
Guoqiang Ma
Yan Kang
Hanlin Gu
Yuanfeng Song
Lixin Fan
Kai Chen
Qiang Yang
ArXivPDFHTML

Papers citing "FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models"

11 / 11 papers shown
Title
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Yu Qiao
Huy Q. Le
Avi Deb Raha
Phuong-Nam Tran
Apurba Adhikary
Mengchun Zhang
Loc X. Nguyen
Eui-nam Huh
Dusit Niyato
C. Hong
AI4CE
21
0
0
11 May 2025
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization
H. Li
Zesheng Zhou
Zhenbiao Cao
X. Li
Wei Chen
X. Zhang
FedML
35
0
0
05 May 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks
Yang Janet Liu
Bingjie Yan
Tianyuan Zou
Jianqing Zhang
Zixuan Gu
...
J. Li
Xiaozhou Ye
Ye Ouyang
Qiang Yang
Y. Zhang
ALM
113
1
0
24 Apr 2025
FedEAT: A Robustness Optimization Framework for Federated LLMs
FedEAT: A Robustness Optimization Framework for Federated LLMs
Yahao Pang
Xingyuan Wu
Xiaojin Zhang
Wei Chen
Hai Jin
FedML
77
0
0
17 Feb 2025
Ten Challenging Problems in Federated Foundation Models
Ten Challenging Problems in Federated Foundation Models
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Y. Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
75
4
0
14 Feb 2025
Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions
Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions
Na Yan
Yang Su
Yansha Deng
Robert Schober
FedML
66
0
0
08 Jan 2025
Leveraging Foundation Models for Efficient Federated Learning in
  Resource-restricted Edge Networks
Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks
S. K. Atapour
S. J. Seyedmohammadi
S. Mohammad Sheikholeslami
J. Abouei
Konstantinos N. Plataniotis
Arash Mohammadi
FedML
47
1
0
14 Sep 2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in
  the Era of Large Language Models
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models
Jinliang Lu
Ziliang Pang
Min Xiao
Yaochen Zhu
Rui Xia
Jiajun Zhang
MoMe
34
18
0
08 Jul 2024
Save It All: Enabling Full Parameter Tuning for Federated Large Language
  Models via Cycle Block Gradient Descent
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent
Lin Wang
Zhichao Wang
Xiaoying Tang
34
1
0
17 Jun 2024
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
619
0
26 Apr 2023
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,843
0
18 Apr 2021
1