FedCLIP: Fast Generalization and Personalization for CLIP in Federated
Learning

FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning

27 February 2023

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

13 / 13 papers shown

Title
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization H. Li Zesheng Zhou Zhenbiao Cao X. Li Wei Chen X. Zhang FedML 33 0 0 05 May 2025
FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models Mainak Singha Subhankar Roy Sarthak Mehrotra Ankit Jha Moloud Abdar Biplab Banerjee Elisa Ricci VLM VPVLM 108 0 0 29 Apr 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 73 0 0 09 Mar 2025
FAA-CLIP: Federated Adversarial Adaptation of CLIP Yihang Wu A. Chaddad Christian Desrosiers Tareef Daqqaq R. Kateb VLM 49 0 0 26 Feb 2025
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models Xiaochen Wang Jiaqi Wang Houping Xiao J. Chen Fenglong Ma MedIm 61 7 0 17 Aug 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 14 0 30 Jan 2024
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 86 85 0 27 Jun 2023
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning Shangchao Su Min Yang Bin Li Xiangyang Xue VLM FedML 19 17 0 15 Nov 2022
Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation Seongyeong Lee Han-Ju Park Dong Uk Kim Jihyeon Kim Muhammadjon Boboev Seungryul Baek 3DH 14 5 0 30 Oct 2022
Gradient Masked Averaging for Federated Learning Irene Tenison Sai Aravind Sreeramadas Vaikkunth Mugunthan Edouard Oyallon Irina Rish Eugene Belilovsky FedML 66 24 0 28 Jan 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 770 0 15 Feb 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,690 0 18 Mar 2020