Federated Learning for Computer Vision
Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Becking_2022_CVPR, author = {Becking, Daniel and Kirchhoffer, Heiner and Tech, Gerhard and Haase, Paul and M\"uller, Karsten and Schwarz, Heiko and Samek, Wojciech}, title = {Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {3367-3376} }
MPAF: Model Poisoning Attacks to Federated Learning Based on Fake Clients-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cao_2022_CVPR, author = {Cao, Xiaoyu and Gong, Neil Zhenqiang}, title = {MPAF: Model Poisoning Attacks to Federated Learning Based on Fake Clients}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {3396-3404} }
Communication-Efficient Federated Data Augmentation on Non-IID Data-
[pdf]
[bibtex]@InProceedings{Wen_2022_CVPR, author = {Wen, Hui and Wu, Yue and Li, Jingjing and Duan, Hancong}, title = {Communication-Efficient Federated Data Augmentation on Non-IID Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {3377-3386} }
Does Federated Dropout Actually Work?-
[pdf]
[bibtex]@InProceedings{Cheng_2022_CVPR, author = {Cheng, Gary and Charles, Zachary and Garrett, Zachary and Rush, Keith}, title = {Does Federated Dropout Actually Work?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {3387-3395} }