ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2409.15723
  4. Cited By
Federated Large Language Models: Current Progress and Future Directions

Federated Large Language Models: Current Progress and Future Directions

24 September 2024
Yuhang Yao
Jianyi Zhang
Junda Wu
Chengkai Huang
Yu Xia
Tong Yu
Ruiyi Zhang
Sungchul Kim
Ryan Rossi
Ang Li
Lina Yao
Julian McAuley
Yiran Chen
Carlee Joe-Wong
    FedML
    AIFin
ArXivPDFHTML

Papers citing "Federated Large Language Models: Current Progress and Future Directions"

14 / 14 papers shown
Title
Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs
Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs
Haifeng Wen
Hong Xing
Osvaldo Simeone
AI4CE
65
3
0
17 Jun 2024
The Future of Large Language Model Pre-training is Federated
The Future of Large Language Model Pre-training is Federated
Lorenzo Sani
Alexandru Iacob
Zeyu Cao
Bill Marino
Yan Gao
...
Wanru Zhao
William F. Shen
Preslav Aleksandrov
Xinchi Qiu
Nicholas D. Lane
AI4CE
81
18
0
17 May 2024
Improving LoRA in Privacy-preserving Federated Learning
Improving LoRA in Privacy-preserving Federated Learning
Youbang Sun
Zitao Li
Yaliang Li
Bolin Ding
53
70
0
18 Mar 2024
FeB4RAG: Evaluating Federated Search in the Context of Retrieval
  Augmented Generation
FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation
Shuai Wang
Ekaterina Khramtsova
Shengyao Zhuang
Guido Zuccon
52
12
0
19 Feb 2024
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large
  Language Models in Federated Learning
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
Weirui Kuang
Bingchen Qian
Zitao Li
Daoyuan Chen
Dawei Gao
Xuchen Pan
Yuexiang Xie
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
50
119
0
01 Sep 2023
Simple synthetic data reduces sycophancy in large language models
Simple synthetic data reduces sycophancy in large language models
Jerry W. Wei
Da Huang
Yifeng Lu
Denny Zhou
Quoc V. Le
48
70
0
07 Aug 2023
FedYolo: Augmenting Federated Learning with Pretrained Transformers
FedYolo: Augmenting Federated Learning with Pretrained Transformers
Xuechen Zhang
Mingchen Li
Xiangyu Chang
Jiasi Chen
Amit K. Roy-Chowdhury
A. Suresh
Samet Oymak
FedML
56
7
0
10 Jul 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
Chong Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
104
93
0
27 Jun 2023
Towards Building the Federated GPT: Federated Instruction Tuning
Towards Building the Federated GPT: Federated Instruction Tuning
Jianyi Zhang
Saeed Vahidian
Martin Kuo
Chunyuan Li
Ruiyi Zhang
Tong Yu
Yufan Zhou
Guoyin Wang
Yiran Chen
ALM
FedML
49
118
0
09 May 2023
Federated Few-Shot Learning for Mobile NLP
Federated Few-Shot Learning for Mobile NLP
Dongqi Cai
Shangguang Wang
Yaozong Wu
F. Lin
Mengwei Xu
FedML
53
12
0
12 Dec 2022
Federated Learning for Inference at Anytime and Anywhere
Federated Learning for Inference at Anytime and Anywhere
Zicheng Liu
Da Li
Javier Fernandez-Marques
Stefanos Laskaridis
Yan Gao
Łukasz Dudziak
Stan Z. Li
S. Hu
Timothy M. Hospedales
FedML
49
5
0
08 Dec 2022
Recovering Private Text in Federated Learning of Language Models
Recovering Private Text in Federated Learning of Language Models
Samyak Gupta
Yangsibo Huang
Zexuan Zhong
Tianyu Gao
Kai Li
Danqi Chen
FedML
51
78
0
17 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
506
9,009
0
28 Jan 2022
FedMD: Heterogenous Federated Learning via Model Distillation
FedMD: Heterogenous Federated Learning via Model Distillation
Daliang Li
Junpu Wang
FedML
63
845
0
08 Oct 2019
1