When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions

27 June 2023

Papers citing "When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions"

50 / 67 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 31 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 65 0 0 29 Apr 2025
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation Yumin Zhang Yan Gao Haoran Duan Hanqing Guo Tejal Shah R. Ranjan Bo Wei FedML 73 0 0 19 Mar 2025
Vision Foundation Models in Medical Image Analysis: Advances and Challenges Pengchen Liang Bin Pu Haishan Huang Yiwei Li H. Wang Weibo Ma Qing Chang VLM MedIm 103 0 0 24 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 83 4 0 14 Feb 2025
A Comprehensive Survey of Foundation Models in Medicine Wasif Khan Seowung Leem Kyle B. See Joshua K. Wong Shaoting Zhang R. Fang AI4CE LM&MA VLM 105 18 0 17 Jan 2025
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
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis Jiaqi Wang Ziyi Yin Quanzeng You Lingjuan Lyu Fenglong Ma FedML 69 0 0 27 Dec 2024
Incentivized Symbiosis: A Paradigm for Human-Agent Coevolution T. J. Chaffer Justin Goldston Gemach D. A. T. A. I 108 0 0 08 Dec 2024
FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park Srinivasa Pranav J. M. F. Moura Carlee Joe-Wong AI4CE 71 2 0 24 Oct 2024
Securing Federated Learning Against Novel and Classic Backdoor Threats During Foundation Model Integration Xiaohuan Bi Xi Li 50 1 0 23 Oct 2024
Federated Learning in Practice: Reflections and Projections Katharine Daly Hubert Eichner Peter Kairouz H. B. McMahan Daniel Ramage Zheng Xu FedML 53 5 0 11 Oct 2024
Federated Large Language Models: Current Progress and Future Directions Yuhang Yao Jianyi Zhang Junda Wu Chengkai Huang Yu Xia ... Ang Li Lina Yao Julian McAuley Yiran Chen Carlee Joe-Wong FedML AIFin 63 8 0 24 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 52 5 0 17 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 49 1 0 14 Sep 2024
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection Jiaqi Wang Xiaochen Wang Lingjuan Lyu Jinghui Chen Fenglong Ma 74 5 0 17 Aug 2024
COALA: A Practical and Vision-Centric Federated Learning Platform Weiming Zhuang Jian Xu Chen Chen Jingtao Li Lingjuan Lyu VLM FedML 72 4 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
Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients Shaoyuan Chen Linlin You Rui Liu Shuo Yu A. Abdelmoniem 62 0 0 07 Jul 2024
Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning Siddhartha Bhattacharya Daniel Helo Joshua Siegel 52 1 0 06 Jul 2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients Mengmeng Ma Tang Li Xi Peng 80 4 0 06 Jul 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 70 3 0 25 May 2024
Navigating the Future of Federated Recommendation Systems with Foundation Models Zhiwei Li Guodong Long Chunxu Zhang Honglei Zhang Jing Jiang Chengqi Zhang 107 0 0 12 May 2024
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare Xingyu Li Lu Peng Yuping Wang Weihua Zhang AI4CE MedIm LM&MA 68 5 0 10 May 2024
Research and application of artificial intelligence based webshell detection model: A literature review Mingrui Ma Lansheng Han Chunjie Zhou 81 2 0 28 Apr 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 70 6 0 23 Apr 2024
Towards Multi-modal Transformers in Federated Learning Guangyu Sun Matías Mendieta Aritra Dutta Xin Li C. L. P. Chen 70 3 0 18 Apr 2024
FedPFT: Federated Proxy Fine-Tuning of Foundation Models Zhaopeng Peng Xiaoliang Fan Yufan Chen Zheng Wang Shirui Pan Chenglu Wen Ruisheng Zhang Cheng-i Wang 64 8 0 17 Apr 2024
Ethical Framework for Responsible Foundational Models in Medical Imaging Abhijit Das Debesh Jha Jasmer Sanjotra Onkar Susladkar Suramyaa Sarkar A. Rauniyar Nikhil Tomar Vanshali Sharma Ulas Bagci MedIm 77 0 0 14 Apr 2024
Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions Yuting He Fuxiang Huang Xinrui Jiang Yuxiang Nie Minghao Wang Jiguang Wang Hao Chen LM&MA AI4CE 71 27 0 04 Apr 2024
Dual-Personalizing Adapter for Federated Foundation Models Yiyuan Yang Guodong Long Taoshu Shen Jing Jiang Michael Blumenstein 88 19 0 28 Mar 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning Jianqing Zhang Yang Janet Liu Yang Hua Jian Cao 74 11 0 23 Mar 2024
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting Rong Dai Yonggang Zhang Ang Li Tongliang Liu Xun Yang Bo Han FedML 74 12 0 23 Feb 2024
Large Language Models are Few-shot Generators: Proposing Hybrid Prompt Algorithm To Generate Webshell Escape Samples Mingrui Ma Lansheng Han Chunjie Zhou SILM AAML 70 1 0 12 Feb 2024
Exploring Federated Self-Supervised Learning for General Purpose Audio Understanding Yasar Abbas Ur Rehman Kin Wai Lau Yuyang Xie Lan Ma Jiajun Shen 73 1 0 05 Feb 2024
Federated Learning with New Knowledge: Fundamentals, Advances, and Futures Lixu Wang Yang Zhao Jiahua Dong Ating Yin Qinbin Li Xiao Wang Dusit Niyato Qi Zhu FedML 74 2 0 03 Feb 2024
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models Mahdi Beitollahi Alex Bie S. Hemati Leo Maxime Brunswic Xu Li Xi Chen Guojun Zhang FedML 66 8 0 02 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 77 15 0 30 Jan 2024
Towards Integrated Fine-tuning and Inference when Generative AI meets Edge Intelligence Ning Chen Zhipeng Cheng Xuwei Fan Xiaoyu Xia Lianfen Huang 54 1 0 05 Jan 2024
Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning Xi Li Chen Henry Wu Jiaqi Wang AAML 51 5 0 30 Nov 2023
Grounding Foundation Models through Federated Transfer Learning: A General Framework Yan Kang Tao Fan Hanlin Gu Xiaojin Zhang Lixin Fan Qiang Yang AI4CE 68 19 0 29 Nov 2023
Federated Fine-Tuning of Foundation Models via Probabilistic Masking Vasileios Tsouvalas Yuki M. Asano Aaqib Saeed FedML 79 3 0 29 Nov 2023
Trustworthy Large Models in Vision: A Survey Ziyan Guo Li Xu Jun Liu MU 58 0 0 16 Nov 2023
Backdoor Threats from Compromised Foundation Models to Federated Learning Xi Li Songhe Wang Chen Henry Wu Hao Zhou Jiaqi Wang 95 10 0 31 Oct 2023
FedSplitX: Federated Split Learning for Computationally-Constrained Heterogeneous Clients Jiyun Shin Jinhyun Ahn Honggu Kang Joonhyuk Kang FedML 57 6 0 23 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 70 8 0 08 Oct 2023
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning Sixing Yu J. P. Muñoz Ali Jannesari AI4CE 79 7 0 30 Sep 2023
FwdLLM: Efficient FedLLM using Forward Gradient Mengwei Xu Dongqi Cai Yaozong Wu Xiang Li Shangguang Wang FedML 49 24 0 26 Aug 2023
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning Haokun Chen Yao Zhang Denis Krompass Jindong Gu Volker Tresp FedML 67 39 0 21 Aug 2023
FDAPT: Federated Domain-adaptive Pre-training for Language Models Lekang Jiang F. Svoboda Nicholas D. Lane FedML AI4CE 63 4 0 12 Jul 2023