Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2310.15080
Cited By
v1
v2
v3 (latest)
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
23 October 2023
Tianshi Che
Ji Liu
Yang Zhou
Jiaxiang Ren
Jiwen Zhou
Victor S. Sheng
H. Dai
Dejing Dou
Re-assign community
ArXiv (abs)
PDF
HTML
Github (31★)
Papers citing
"Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization"
30 / 30 papers shown
Implicit Federated In-context Learning For Task-Specific LLM Fine-Tuning
Dongcheng Li
Junhan Chen
Aoxiang Zhou
Chunpei Li
Youquan Xian
Peng Liu
Xianxian Li
FedML
342
0
0
10 Nov 2025
Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
Longwei Wang
Ifrat Ikhtear Uddin
KC Santosh
Chaowei Zhang
Xiao Qin
Yang Zhou
AAML
255
2
0
17 Oct 2025
FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits
Pingchen Lu
Zhi Hong
Zhiwei Shang
Zhiyong Wang
Yikun Ban
Yao Shu
Min Zhang
Shuang Qiu
Zhongxiang Dai
FedML
124
0
0
29 Sep 2025
FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models
Kun Zhai
Siheng Chen
Xingjun Ma
Yu Jiang
VLM
AAML
FedML
110
0
0
03 Sep 2025
On the Evolution of Federated Post-Training Large Language Models: A Model Accessibility View
Tao Guo
Junxiao Wang
Fushuo Huo
Laizhong Cui
Song Guo
Jie Gui
Dacheng Tao
108
0
0
22 Aug 2025
CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning
Wenqiao Zhu
Ji Liu
Rongjuncheng Zhang
Haipang Wu
Yulun Zhang
OffRL
LRM
207
0
0
21 Aug 2025
FedSODA: Federated Fine-tuning of LLMs via Similarity Group Pruning and Orchestrated Distillation Alignment
Manning Zhu
Songtao Guo
Pengzhan Zhou
Yansong Ning
Chang Han
Dewen Qiao
104
0
0
18 Aug 2025
FedDPG: An Adaptive Yet Efficient Prompt-tuning Approach in Federated Learning Settings
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025
A. Shakeri
Wei Zhang
Amin Beheshti
Weitong Chen
J. Yang
L. Yang
FedML
136
0
0
22 Jul 2025
Scaling Decentralized Learning with FLock
Zehua Cheng
Rui Sun
Jiahao Sun
Yike Guo
FedML
234
0
0
21 Jul 2025
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
Ganyu Wang
Jinjie Fang
Maxwell J. Ying
Bin Gu
Xi Chen
Boyu Wang
Yi Chang
Charles Ling
FedML
276
1
0
17 Jun 2025
FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models
Y. Zhang
Hewei Gao
Haokun Chen
Weiguo Li
Yunpu Ma
Volker Tresp
145
1
0
12 Jun 2025
SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Wenqiao Zhu
Ji Liu
Lulu Wang
Jun Wu
Yulun Zhang
366
2
0
18 May 2025
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
Zheng Lin
Yuxin Zhang
Zhe Chen
Zihan Fang
Xianhao Chen
Praneeth Vepakomma
Wei Ni
Jun Luo
Yue Gao
MoE
371
17
0
05 May 2025
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
Penghao Wang
Qian Chen
Teng Zhang
Yu Zhang
Wang Lu
Yiqiang Chen
293
1
0
15 Apr 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation
Yongqian Li
Bo Liu
Sheng Huang
Zhe Zhang
Xiaotong Yuan
Richang Hong
383
1
0
31 Mar 2025
A Survey on Federated Fine-tuning of Large Language Models
Yebo Wu
Chunlin Tian
Jingguang Li
He Sun
Kahou Tam
Zhanting Zhou
Haicheng Liao
Zhijiang Guo
Li Li
Chengzhong Xu
FedML
508
5
0
15 Mar 2025
FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences
ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 2024
Maria Hartmann
Grégoire Danoy
Pascal Bouvry
FedML
236
2
0
23 Jan 2025
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures
Yicheng Zhang
Zhen Qin
Zhaomin Wu
Jian Hou
Shuiguang Deng
721
7
0
28 Nov 2024
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Sajjad Ghiasvand
Yifan Yang
Zhiyu Xue
Mahnoosh Alizadeh
Zheng Zhang
Ramtin Pedarsani
FedML
560
6
0
16 Oct 2024
Federated Data-Efficient Instruction Tuning for Large Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Zhen Qin
Zhaomin Wu
Bingsheng He
Shuiguang Deng
FedML
366
3
0
14 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning
International Conference on Learning Representations (ICLR), 2024
Pengxin Guo
Shuang Zeng
Y. Wang
Huijie Fan
Feifei Wang
Liangqiong Qu
FedML
552
42
0
02 Oct 2024
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Ji Liu
Jiaxiang Ren
Ruoming Jin
Zijie Zhang
Yang Zhou
P. Valduriez
Dejing Dou
FedML
281
8
0
30 Sep 2024
Federated Large Language Models: Current Progress and Future Directions
Yuhang Yao
Jianyi Zhang
Junda Wu
Chengkai Huang
Yu Xia
...
Ang Li
L. Yao
Julian McAuley
Yiran Chen
Carlee Joe-Wong
FedML
AIFin
520
20
0
24 Sep 2024
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
Yao Shu
Wenyang Hu
Szu Hui Ng
Bryan Kian Hsiang Low
Fei Richard Yu
FedML
447
2
0
10 Sep 2024
Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches
Yanjie Dong
Xiaoyi Fan
Fangxin Wang
Chengming Li
Victor C. M. Leung
Xiping Hu
238
10
0
20 Aug 2024
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024
Ji Liu
Juncheng Jia
Hong Zhang
Yuhui Yun
Leye Wang
Yang Zhou
H. Dai
Dejing Dou
FedML
234
12
0
11 Aug 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
517
151
0
09 Jul 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
Neural Information Processing Systems (NeurIPS), 2024
Qingxiang Liu
Xu Liu
Chenghao Liu
Qingsong Wen
Yuxuan Liang
AI4TS
AI4CE
281
20
0
23 May 2024
Grounding Foundation Models through Federated Transfer Learning: A General Framework
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
Weijing Chen
Tao Fan
Hanlin Gu
Xiaojin Zhang
Lixin Fan
Qiang Yang
AI4CE
526
27
0
29 Nov 2023
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Sai Praneeth Karimireddy
Martin Jaggi
Satyen Kale
M. Mohri
Sashank J. Reddi
Sebastian U. Stich
A. Suresh
FedML
546
234
0
08 Aug 2020
1
