CVPR 2025 Open Access Repository

The 4th Workshop on Federated Learning for Computer Vision

Forget Less, Learn More: Contrastive-Based Federated Class Incremental Learning with a Low-Dimensional Projection Layer: Ensieh Khazaei,

Dimitrios Hatzinakos; [pdf]
[bibtex]
@InProceedings{Khazaei_2025_CVPR, author = {Khazaei, Ensieh and Hatzinakos, Dimitrios}, title = {Forget Less, Learn More: Contrastive-Based Federated Class Incremental Learning with a Low-Dimensional Projection Layer}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1791-1800} }
FedCIAL: Federated Color-Invariant Adversarial Learning for Enhancing Fairness and Performance in Skin Lesion Classification: Rahmat Izwan Heroza,

John Q. Gan,

Haider Raza; [pdf]
[bibtex]
@InProceedings{Heroza_2025_CVPR, author = {Heroza, Rahmat Izwan and Gan, John Q. and Raza, Haider}, title = {FedCIAL: Federated Color-Invariant Adversarial Learning for Enhancing Fairness and Performance in Skin Lesion Classification}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1821-1828} }
Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise: Ratun Rahman,

Atit Pokharel,

Dinh C. Nguyen; [pdf]
[bibtex]
@InProceedings{Rahman_2025_CVPR, author = {Rahman, Ratun and Pokharel, Atit and Nguyen, Dinh C.}, title = {Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1829-1838} }
FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning: Joseph Geo Benjamin,

Mothilal Asokan,

Mohammad Yaqub,

Karthik Nandakumar; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Benjamin_2025_CVPR, author = {Benjamin, Joseph Geo and Asokan, Mothilal and Yaqub, Mohammad and Nandakumar, Karthik}, title = {FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1771-1780} }
FedDG-MoE: Test-Time Mixture-of-Experts Fusion for Federated Domain Generalization: Ahmed Radwan,

Mahmoud Soliman,

Omar Abdelaziz,

Mohamed Shehata; [pdf]
[bibtex]
@InProceedings{Radwan_2025_CVPR, author = {Radwan, Ahmed and Soliman, Mahmoud and Abdelaziz, Omar and Shehata, Mohamed}, title = {FedDG-MoE: Test-Time Mixture-of-Experts Fusion for Federated Domain Generalization}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1811-1820} }
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning: Tuo Zhang,

Tiantian Feng,

Samiul Alam,

Dimitrios Dimitriadis,

Sunwoo Lee,

Mi Zhang,

Shrikanth S. Narayanan,

Salman Avestimehr; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2025_CVPR, author = {Zhang, Tuo and Feng, Tiantian and Alam, Samiul and Dimitriadis, Dimitrios and Lee, Sunwoo and Zhang, Mi and Narayanan, Shrikanth S. and Avestimehr, Salman}, title = {GPT-FL: Generative Pre-trained Model-Assisted Federated Learning}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1761-1770} }
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment: Sunny Gupta,

Vinay Sutar,

Varunav Singh,

Amit Sethi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gupta_2025_CVPR, author = {Gupta, Sunny and Sutar, Vinay and Singh, Varunav and Sethi, Amit}, title = {FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1801-1810} }
FedCAPR:Federated Camera-Aware Unsupervised Person Re-Identification with Identity-Distributed Equalization for Decentralized Data Clustering: Yu-Syuan Tseng,

Tzu-Chin Hsu,

Chih-Ting Liu,

Shao-Yi Chien; [pdf] [supp]
[bibtex]
@InProceedings{Tseng_2025_CVPR, author = {Tseng, Yu-Syuan and Hsu, Tzu-Chin and Liu, Chih-Ting and Chien, Shao-Yi}, title = {FedCAPR:Federated Camera-Aware Unsupervised Person Re-Identification with Identity-Distributed Equalization for Decentralized Data Clustering}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1781-1790} }