214 citations · 312 across the 5 of their papers we have counts for
5 papers
Federated Domain Generalization: A Survey
Ying Li, Xingwei Wang, Rongfei Zeng +4
Machine learning typically relies on the assumption that training and testing distributions are identical and that data is centrally stored for training and testing. However, in re…
CD: Fine-grained 3D Mesh Reconstruction With Twice Chamfer Distance
Rongfei Zeng, Mai Su, Ruiyun Yu +1
Monocular 3D reconstruction is to reconstruct the shape of object and its other information from a single RGB image. In 3D reconstruction, polygon mesh, with detailed surface infor…
A Comprehensive Survey of Incentive Mechanism for Federated Learning
Rongfei Zeng, Chao Zeng, Xingwei Wang +2
Federated learning utilizes various resources provided by participants to collaboratively train a global model, which potentially address the data privacy issue of machine learning…
KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation
Chenhong Zhou, Feng Liu, Chen Gong +4
In semantic segmentation, we aim to train a pixel-level classifier to assign category labels to all pixels in an image, where labeled training images and unlabeled test images are…
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC
Rongfei Zeng, Shixun Zhang, Jiaqi Wang +1
Promising federated learning coupled with Mobile Edge Computing (MEC) is considered as one of the most promising solutions to the AI-driven service provision. Plenty of studies foc…