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FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning

IEEE Data Engineering Bulletin (IEEE Data Eng. Bull.), 2023

27 February 2023

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Papers citing "FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning"

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Title
Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification Yihang Wu Ahmad Chaddad VLM FedML MedIm 176 0 0 11 Nov 2025
FedDEAP: Adaptive Dual-Prompt Tuning for Multi-Domain Federated Learning Yubin Zheng Pak-Hei Yeung Jing Xia Tianjie Ju Peng Tang Weidong Qiu Jagath C. Rajapakse FedML VLM 100 0 0 21 Oct 2025
Cooperative Pseudo Labeling for Unsupervised Federated Classification Kuangpu Guo Lijun Sheng Yongcan Yu Jian Liang Zilei Wang Ran He FedML VLM 112 0 0 11 Oct 2025
FRIEREN: Federated Learning with Vision-Language Regularization for Segmentation Ding-Ruei Shen FedML VLM 118 0 0 02 Oct 2025
Federated Domain Generalization with Domain-specific Soft Prompts Generation Jianhan Wu Xiaoyang Qu Zhangcheng Huang Jianzong Wang FedML 154 0 0 25 Sep 2025
Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency Yanbiao Ma Wei-Ming Dai Bowei Liu Jiayi Chen Wenke Huang Guancheng Wan Zhiwu Lu Junchi Yan FedML 132 0 0 19 Aug 2025
Federated Cross-Modal Style-Aware Prompt Generation Suraj Prasad Navyansh Mahla Sunny Gupta Amit Sethi CLIP FedML VLM 128 0 0 17 Aug 2025
Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter TuningIEEE Transactions on Medical Imaging (IEEE TMI), 2025 D. Peng Yuan Wang Kangning Cai Peiyan Ning Jiming Xu Yong Liu Rick Siow Mong Goh Qingsong Wei Huazhu Fu FedML 144 0 0 14 Aug 2025
BadPromptFL: A Novel Backdoor Threat to Prompt-based Federated Learning in Multimodal Models Maozhen Zhang Mengnan Zhao Wei Wang Bo Wang FedML SILM 181 0 0 11 Aug 2025
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning Wenxuan Bao Ruxi Deng Ruizhong Qiu Tianxin Wei Hanghang Tong Jingrui He FedML VLM TTA 231 2 0 29 Jul 2025
pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models Sajjad Ghiasvand Mahnoosh Alizadeh Ramtin Pedarsani VLM 188 0 0 07 Jul 2025
An Empirical Study of Federated Prompt Learning for Vision Language ModelInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Zhihao Wang Wenke Huang Tian Chen Zekun Shi Guancheng Wan Yu Qiao Bin Yang Jian Wang Bing Li Mang Ye FedML VLM 199 1 0 29 May 2025
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Yuanzhe Peng Jieming Bian Lei Wang Yin Huang Jie Xu 175 0 0 27 May 2025
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization Haoyang Li Zesheng Zhou Zhenbiao Cao Xiaochen Li Wei Chen Xinsong Zhang FedML 425 0 0 05 May 2025
FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models Mainak Singha Subhankar Roy Sarthak Mehrotra Ankit Jha Moloud Abdar Biplab Banerjee Elisa Ricci VLM VPVLM 461 1 0 29 Apr 2025
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Shuai Gong C. Cui Xiaolin Dong Xiushan Nie Lei Zhu Xiaojun Chang FedML MoE 224 0 0 29 Apr 2025
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning Dongping Liao X. Gao Yabo Xu Chengzhong Xu FedML VLM 223 0 0 28 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 371 5 0 15 Mar 2025
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational EfficiencyIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2025 Duy Phuong Nguyen J. P. Muñoz Tanya Roosta Ali Jannesari FedML 200 2 0 10 Mar 2025
CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model Shihao Hou Xinyi Shang Shreyank N Gowda Yang Lu Chao-Xiang Wu Yan Yan Hanzi Wang VLM 207 0 0 10 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated LearningComputer Vision and Pattern Recognition (CVPR), 2025 Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 425 5 0 09 Mar 2025
FAA-CLIP: Federated Adversarial Adaptation of CLIPIEEE Internet of Things Journal (IEEE IoT J.), 2025 Yihang Wu Ahmad Chaddad Christian Desrosiers Tareef Daqqaq R. Kateb VLM 255 4 0 26 Feb 2025
Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Timo Fudala Vasileios Tsouvalas N. Meratnia MoE 204 0 0 10 Feb 2025
FACMIC: Federated Adaptative CLIP Model for Medical Image ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 Yihang Wu Christian Desrosiers Ahmad Chaddad VLM 255 10 0 08 Oct 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 345 16 0 24 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 167 3 0 14 Sep 2024
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge InjectionNeural Information Processing Systems (NeurIPS), 2024 Yuan Liu Xiaochen Wang Lingjuan Lyu Jinghui Chen Fenglong Ma 168 9 0 17 Aug 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Xiaochen Wang Yuan Liu Houping Xiao Jianfei Chen Fenglong Ma MedIm 567 7 0 17 Aug 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 240 9 0 18 Jun 2024
Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality Liwei Che Yuan Liu Xinyue Liu Fenglong Ma 190 5 0 16 Jun 2024
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare Xingyu Li Lu Peng Yuping Wang Weihua Zhang AI4CE MedIm LM&MA 273 26 0 10 May 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 315 3 0 23 Apr 2024
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning Duy Phuong Nguyen J. P. Muñoz Ali Jannesari VLM 138 17 0 12 Apr 2024
Open-Vocabulary Federated Learning with Multimodal Prototyping Huimin Zeng Zhenrui Yue Dong Wang FedML VLM 185 2 0 01 Apr 2024
Heterogeneous Federated Learning with Splited Language Model Yifan Shi Yuhui Zhang Ziyue Huang Xiaofeng Yang Li Shen Wei Chen Xueqian Wang FedML 241 2 0 24 Mar 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated LearningComputer Vision and Pattern Recognition (CVPR), 2024 Sikai Bai Jiewei Zhang Shuaicheng Li Song Guo Jingcai Guo Jun Hou Tao Han Xiaocheng Lu FedML 305 25 0 11 Mar 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning Hongxia Li Wei Huang Jingya Wang Ye-ling Shi FedML VLM 317 40 0 29 Feb 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models Weijiao Zhang Jindong Han Zhao Xu Hang Ni Hao Liu Hui Xiong Hui Xiong AI4CE 474 24 0 30 Jan 2024
A Survey on Efficient Federated Learning Methods for Foundation Model TrainingInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Herbert Woisetschläger Alexander Isenko Shiqiang Wang R. Mayer Hans-Arno Jacobsen FedML 218 37 0 09 Jan 2024
FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models Panlong Wu Kangshuo Li Ting Wang Fangxin Wang FedML MoE 215 4 0 26 Dec 2023
FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients Shangchao Su Bin Li Xiangyang Xue FedML 237 19 0 19 Nov 2023
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning Xidong Wu Wan-Yi Lin Devin Willmott Filipe Condessa Yufei Huang Zhenzhen Li Madan Ravi Ganesh FedML 158 5 0 14 Nov 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 246 17 0 09 Oct 2023
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning Wang Lu Hao Yu Yongfeng Zhang Damien Teney Haohan Wang Yiqiang Chen Qiang Yang Xing Xie Xiangyang Ji 178 9 0 08 Oct 2023
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning Liam Collins Shanshan Wu Sewoong Oh K. Sim FedML 212 11 0 06 Oct 2023
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models Zihao Lin Yan Sun Yifan Shi Xueqian Wang Lifu Huang Li Shen Dacheng Tao 212 14 0 04 Oct 2023
FedJudge: Federated Legal Large Language ModelInternational Conference on Database Systems for Advanced Applications (DASFAA), 2023 Linan Yue Qi Liu Yichao Du Weibo Gao Ye Liu Fangzhou Yao ELM AILaw FedML 255 9 0 15 Sep 2023
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 Haokun Chen Yao Zhang Denis Krompass Jindong Gu Volker Tresp FedML 182 80 0 21 Aug 2023
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 525 119 0 27 Jun 2023
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 Shangchao Su Min Yang Bin Li Xiangyang Xue VLM FedML 274 33 0 15 Nov 2022