The 3rd International Workshop on Federated Learning for Computer Vision (FedVision-2024)
Collaborative Visual Place Recognition through Federated Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dutto_2024_CVPR, author = {Dutto, Mattia and Berton, Gabriele and Caldarola, Debora and Fan{\`\i}, Eros and Trivigno, Gabriele and Masone, Carlo}, title = {Collaborative Visual Place Recognition through Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4215-4225} }
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gao_2024_CVPR, author = {Gao, Xin and Yang, Xin and Yu, Hao and Kang, Yan and Li, Tianrui}, title = {FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4205-4214} }
Federated Hyperparameter Optimization Through Reward-Based Strategies: Challenges and Insights-
[pdf]
[bibtex]@InProceedings{Nakka_2024_CVPR, author = {Nakka, Krishna Kanth and Frikha, Ahmed and Mendis, Ricardo and Jiang, Xue and Zhou, Xuebing}, title = {Federated Hyperparameter Optimization Through Reward-Based Strategies: Challenges and Insights}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4236-4244} }
On the Efficiency of Privacy Attacks in Federated Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tabassum_2024_CVPR, author = {Tabassum, Nawrin and Chow, Ka-Ho and Wang, Xuyu and Zhang, Wenbin and Wu, Yanzhao}, title = {On the Efficiency of Privacy Attacks in Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4226-4235} }