Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation

29 August 2023

Papers citing "Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation"

36 / 36 papers shown

Title
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
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning Jieming Bian Yuanzhe Peng Lei Wang Yin Huang Jie Xu FedML 55 0 0 29 Apr 2025
A Survey on Federated Fine-tuning of Large Language Models Yebo Wu Chunlin Tian Jingguang Li He Sun Kahou Tam Li Li Chengzhong Xu FedML 81 0 0 15 Mar 2025
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data Pei-Yau Weng Minh Hoang Lam M. Nguyen My T. Thai Tsui-Wei Weng T. Hoang FedML 71 2 0 27 Feb 2025
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
PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning Shenghui Li Edith C. H. Ngai Fanghua Ye Thiemo Voigt SILM 86 6 0 28 Nov 2024
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures Yicheng Zhang Zhen Qin Zhaomin Wu Shuiguang Deng 70 2 0 28 Nov 2024
Modality Alignment Meets Federated Broadcasting Yuting Ma Shengeng Tang Xiaohua Xu Lechao Cheng 68 1 0 24 Nov 2024
Panther: Illuminate the Sight of Multimodal LLMs with Instruction-Guided Visual Prompts Honglin Li Yuting Gao Chenglu Zhu Jingdong Chen M. Yang Lin Yang MLLM 82 0 0 21 Nov 2024
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method Bikang Pan Wei Huang Ye-ling Shi FedML VLM 27 3 0 29 Sep 2024
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
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models Mingzhao Yang Shangchao Su Bin Li Xiangyang Xue 19 5 0 29 Jul 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations Guogang Zhu Xuefeng Liu Jianwei Niu Shaojie Tang Xinghao Wu Jiayuan Zhang AI4CE 45 1 0 25 Jul 2024
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation Xinghao Wu Jianwei Niu Xuefeng Liu Mingjia Shi Guogang Zhu Shaojie Tang 26 2 0 23 Jul 2024
Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification Naif Alkhunaizi Faris Almalik Rouqaiah Al-Refai Muzammal Naseer Karthik Nandakumar MedIm 71 2 0 16 Jul 2024
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
Personalized Federated Continual Learning via Multi-granularity Prompt Hao Yu Xin Yang Xin Gao Yan Kang Hao Wang Junbo Zhang Tianrui Li CLL 32 6 0 27 Jun 2024
Synergizing Foundation Models and Federated Learning: A Survey Shenghui Li Fanghua Ye Meng Fang Jiaxu Zhao Yun-Hin Chan Edith C. -H. Ngai Thiemo Voigt AI4CE 43 5 0 18 Jun 2024
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation Yuting Ma Lechao Cheng Yaxiong Wang Zhun Zhong Xiaohua Xu Meng Wang FedML 27 4 0 27 May 2024
Harmonizing Generalization and Personalization in Federated Prompt Learning Tianyu Cui Hongxia Li Jingya Wang Ye-ling Shi FedML VLM 27 8 0 16 May 2024
Privacy Preserving Prompt Engineering: A Survey Kennedy Edemacu Xintao Wu 39 18 0 09 Apr 2024
Open-Vocabulary Federated Learning with Multimodal Prototyping Huimin Zeng Zhenrui Yue Dong Wang FedML VLM 24 1 0 01 Apr 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning Hongxia Li Wei Huang Jingya Wang Ye-ling Shi FedML VLM 25 19 0 29 Feb 2024
FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients Shangchao Su Bin Li Xiangyang Xue FedML 28 10 0 19 Nov 2023
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning Wenlong Deng Christos Thrampoulidis Xiaoxiao Li 22 12 0 27 Oct 2023
Text-driven Prompt Generation for Vision-Language Models in Federated Learning Chen Qiu Xingyu Li Chaithanya Kumar Mummadi Madan Ravi Ganesh Zhenzhen Li Lu Peng Wan-Yi Lin VLM FedML 31 11 0 09 Oct 2023
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning Wang Lu Hao Yu Jindong Wang Damien Teney Haohan Wang Yiqiang Chen Qiang Yang Xing Xie Xiangyang Ji 66 8 0 08 Oct 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 98 47 0 04 May 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
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
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,249 0 02 Sep 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 151 455 0 01 May 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,835 0 18 Apr 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 784 0 15 Feb 2021
Performance Optimization for Federated Person Re-identification via Benchmark Analysis Weiming Zhuang Yonggang Wen Xuesen Zhang Xin Gan Daiying Yin Dongzhan Zhou Shuai Zhang Shuai Yi FedML 76 95 0 26 Aug 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017