CVPR 2026 Open Access Repository

The 5th Workshop on Federated Learning for Computer Vision

DynaMu: Loss-Guided Adaptive Proximal Regularization for Federated Learning: Armaan Hajarizadeh,

Suyash Gupta; [pdf]
[bibtex]
@InProceedings{Hajarizadeh_2026_CVPR, author = {Hajarizadeh, Armaan and Gupta, Suyash}, title = {DynaMu: Loss-Guided Adaptive Proximal Regularization for Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3321-3329} }
Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy: Asim Ukaye,

Mubarak Abdu-Aguye,

Nurbek Tastan,

Karthik Nandakumar; [pdf] [supp]
[bibtex]
@InProceedings{Ukaye_2026_CVPR, author = {Ukaye, Asim and Abdu-Aguye, Mubarak and Tastan, Nurbek and Nandakumar, Karthik}, title = {Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3369-3378} }
FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization: Md. Akil Raihan Iftee,

Syed Md. Ahnaf Hasan,

Amin Ahsan Ali,

A K M Mahbubur Rahman,

Sajib Mistry,

Aneesh Krishna; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Iftee_2026_CVPR, author = {Iftee, Md. Akil Raihan and Hasan, Syed Md. Ahnaf and Ali, Amin Ahsan and Rahman, A K M Mahbubur and Mistry, Sajib and Krishna, Aneesh}, title = {FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3330-3339} }
UniFed-LoRA: Exploiting Semantic Task Correlation for Heterogeneous Multimodal Federated Fine-Tuning: Usevalad Milasheuski,

Charles Lu,

Pradyumna Chari,

Monica Nicoli,

Stefano Savazzi,

Ramesh Raskar; [pdf] [supp]
[bibtex]
@InProceedings{Milasheuski_2026_CVPR, author = {Milasheuski, Usevalad and Lu, Charles and Chari, Pradyumna and Nicoli, Monica and Savazzi, Stefano and Raskar, Ramesh}, title = {UniFed-LoRA: Exploiting Semantic Task Correlation for Heterogeneous Multimodal Federated Fine-Tuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3349-3358} }
DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning: Omar Bekdache,

Naresh Shanbhag; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bekdache_2026_CVPR, author = {Bekdache, Omar and Shanbhag, Naresh}, title = {DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3301-3311} }
DALSE: Drift-Aware Latent State Estimation for Robust Federated Learning under Dynamic Participation: Ching-Hwa Chang,

Ming-Lun Lee,

Cheng-Kuan Lin,

Yu-Chee Tseng; [pdf]
[bibtex]
@InProceedings{Chang_2026_CVPR, author = {Chang, Ching-Hwa and Lee, Ming-Lun and Lin, Cheng-Kuan and Tseng, Yu-Chee}, title = {DALSE: Drift-Aware Latent State Estimation for Robust Federated Learning under Dynamic Participation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3312-3320} }
Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning: Wugeng Zheng,

Ziwen Kan,

Katie Wang,

Chen Chen,

Song Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zheng_2026_CVPR, author = {Zheng, Wugeng and Kan, Ziwen and Wang, Katie and Chen, Chen and Wang, Song}, title = {Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3379-3388} }
SCOPE: Shared Content Orchestration of Parameter-Efficient Experts for Federated Domain Generalization: Mahmoud Soliman,

Ahmed Radwan,

Omar Abdelaziz,

Mohamed S. Shehata; [pdf] [supp]
[bibtex]
@InProceedings{Soliman_2026_CVPR, author = {Soliman, Mahmoud and Radwan, Ahmed and Abdelaziz, Omar and Shehata, Mohamed S.}, title = {SCOPE: Shared Content Orchestration of Parameter-Efficient Experts for Federated Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3359-3368} }
FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels: Sina Gholami,

Abudlmoneam Ali,

Tania Haghighi,

Ahmed Arafa,

Minhaj Nur Alam; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gholami_2026_CVPR, author = {Gholami, Sina and Ali, Abudlmoneam and Haghighi, Tania and Arafa, Ahmed and Alam, Minhaj Nur}, title = {FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3340-3348} }