DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning

11 March 2024

Papers citing "DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning"

7 / 7 papers shown

Title
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
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 73 3 0 14 Feb 2025
Visual-Language Prompt Tuning with Knowledge-guided Context Optimization Hantao Yao Rui Zhang Changsheng Xu VLM VPVLM 122 193 0 23 Mar 2023
Mitigating Both Covariate and Conditional Shift for Domain Generalization Jianxin Lin Yongqiang Tang Junping Wang Wensheng Zhang OOD 18 3 0 17 Sep 2022
Gradient Masked Averaging for Federated Learning Irene Tenison Sai Aravind Sreeramadas Vaikkunth Mugunthan Edouard Oyallon Irina Rish Eugene Belilovsky FedML 57 24 0 28 Jan 2022
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
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 396 2,576 0 03 Sep 2019