Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Guangyu, Li, Jingtao, Zhuang, Weiming, Chen, Chen, Lyu, Lingjuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Replay-Free Continual Low-Rank Adaptation with Dynamic Memory
by: Chen, Huancheng, et al.
Published: (2024)
by: Chen, Huancheng, et al.
Published: (2024)
FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free
by: Yuan, Haolin, et al.
Published: (2025)
by: Yuan, Haolin, et al.
Published: (2025)
UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models
by: Wang, Yimu, et al.
Published: (2025)
by: Wang, Yimu, et al.
Published: (2025)
COALA: A Practical and Vision-Centric Federated Learning Platform
by: Zhuang, Weiming, et al.
Published: (2024)
by: Zhuang, Weiming, et al.
Published: (2024)
FedWon: Triumphing Multi-domain Federated Learning Without Normalization
by: Zhuang, Weiming, et al.
Published: (2023)
by: Zhuang, Weiming, et al.
Published: (2023)
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection
by: Wang, Wenxiao, et al.
Published: (2024)
by: Wang, Wenxiao, et al.
Published: (2024)
VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations
by: Patel, Maitreya, et al.
Published: (2026)
by: Patel, Maitreya, et al.
Published: (2026)
Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning
by: Sun, Guangyu, et al.
Published: (2022)
by: Sun, Guangyu, et al.
Published: (2022)
Training-Free Layout-to-Image Generation with Marginal Attention Constraints
by: Chen, Huancheng, et al.
Published: (2024)
by: Chen, Huancheng, et al.
Published: (2024)
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models
by: Mendieta, Matias, et al.
Published: (2024)
by: Mendieta, Matias, et al.
Published: (2024)
Towards Multi-modal Transformers in Federated Learning
by: Sun, Guangyu, et al.
Published: (2024)
by: Sun, Guangyu, et al.
Published: (2024)
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
by: Zhuang, Weiming, et al.
Published: (2023)
by: Zhuang, Weiming, et al.
Published: (2023)
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
by: Liang, Jiachen, et al.
Published: (2024)
by: Liang, Jiachen, et al.
Published: (2024)
ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning
by: Chen, Duowen, et al.
Published: (2026)
by: Chen, Duowen, et al.
Published: (2026)
On the Limits of Token Reduction for Efficient Unified Vision Language Training
by: Chen, Siyi, et al.
Published: (2026)
by: Chen, Siyi, et al.
Published: (2026)
ExpVG: Investigating the Design Space of Visual Grounding in Multimodal Large Language Model
by: Kang, Weitai, et al.
Published: (2025)
by: Kang, Weitai, et al.
Published: (2025)
UniCompress: Token Compression for Unified Vision-Language Understanding and Generation
by: Wang, Ziyao, et al.
Published: (2026)
by: Wang, Ziyao, et al.
Published: (2026)
Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation
by: Elbatel, Marawan, et al.
Published: (2024)
by: Elbatel, Marawan, et al.
Published: (2024)
A Simple Background Augmentation Method for Object Detection with Diffusion Model
by: Li, Yuhang, et al.
Published: (2024)
by: Li, Yuhang, et al.
Published: (2024)
Seeing Further on the Shoulders of Giants: Knowledge Inheritance for Vision Foundation Models
by: Huang, Jiabo, et al.
Published: (2025)
by: Huang, Jiabo, et al.
Published: (2025)
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
by: Chen, Xinlei, et al.
Published: (2024)
by: Chen, Xinlei, et al.
Published: (2024)
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
by: Sehwag, Vikash, et al.
Published: (2024)
by: Sehwag, Vikash, et al.
Published: (2024)
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
by: Wang, Zhenting, et al.
Published: (2023)
by: Wang, Zhenting, et al.
Published: (2023)
Semi-Supervised Learning with Multi-Head Co-Training
by: Chen, Mingcai, et al.
Published: (2021)
by: Chen, Mingcai, et al.
Published: (2021)
Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
by: Liu, Yijie, et al.
Published: (2025)
by: Liu, Yijie, et al.
Published: (2025)
Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift
by: Kethavath, Harshith, et al.
Published: (2026)
by: Kethavath, Harshith, et al.
Published: (2026)
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
by: Shao, Qian, et al.
Published: (2024)
by: Shao, Qian, et al.
Published: (2024)
How to Trace Latent Generative Model Generated Images without Artificial Watermark?
by: Wang, Zhenting, et al.
Published: (2024)
by: Wang, Zhenting, et al.
Published: (2024)
Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling
by: Lyu, Zongyao, et al.
Published: (2024)
by: Lyu, Zongyao, et al.
Published: (2024)
LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
by: Huang, Zhiyuan, et al.
Published: (2025)
by: Huang, Zhiyuan, et al.
Published: (2025)
The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation
by: Morales-Brotons, Daniel, et al.
Published: (2024)
by: Morales-Brotons, Daniel, et al.
Published: (2024)
Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decomposition
by: Drozdova, Mariia, et al.
Published: (2024)
by: Drozdova, Mariia, et al.
Published: (2024)
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
by: Chen, Danhui, et al.
Published: (2025)
by: Chen, Danhui, et al.
Published: (2025)
Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges
by: Li, Jiajia, et al.
Published: (2023)
by: Li, Jiajia, et al.
Published: (2023)
FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data
by: Liu, Hezhao, et al.
Published: (2025)
by: Liu, Hezhao, et al.
Published: (2025)
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2024)
by: Wang, Tao, et al.
Published: (2024)
Impact of Noisy Supervision in Foundation Model Learning
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization
by: Huang, Yan, et al.
Published: (2025)
by: Huang, Yan, et al.
Published: (2025)
A Closer Look at In-Distribution vs. Out-of-Distribution Accuracy for Open-Set Test-time Adaptation
by: Li, Zefeng, et al.
Published: (2026)
by: Li, Zefeng, et al.
Published: (2026)
Rethinking the Bias of Foundation Model under Long-tailed Distribution
by: Chen, Jiahao, et al.
Published: (2025)
by: Chen, Jiahao, et al.
Published: (2025)
Similar Items
-
Replay-Free Continual Low-Rank Adaptation with Dynamic Memory
by: Chen, Huancheng, et al.
Published: (2024) -
FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free
by: Yuan, Haolin, et al.
Published: (2025) -
UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models
by: Wang, Yimu, et al.
Published: (2025) -
COALA: A Practical and Vision-Centric Federated Learning Platform
by: Zhuang, Weiming, et al.
Published: (2024) -
FedWon: Triumphing Multi-domain Federated Learning Without Normalization
by: Zhuang, Weiming, et al.
Published: (2023)