Differentially Private Average Consensus with Improved Accuracy-Privacy Trade-off

no code implementations • 15 Sep 2023 • Lei Wang, Weijia Liu, Fanghong Guo, Zixin Qiao, Zhengguang Wu

Gaussian noise and the output of the mechanism using Gaussian noises, it is shown that the resulting average consensus algorithm can eliminate the gap in the sense that the accuracy-privacy trade-off of the centralized averaging approach with differential privacy can be almost recovered by appropriately designing the variances of the added noises.

Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network

no code implementations • 17 Nov 2021 • Xiaoming Zhao, Jingmeng Liu, Xingming Wu, Weihai Chen, Fanghong Guo, Zhengguo Li

Keypoints matching is a pivotal component for many image-relevant applications such as image stitching, visual simultaneous localization and mapping (SLAM), and so on.

Graph Neural Network Image Stitching +2

Automatic Vocabulary and Graph Verification for Accurate Loop Closure Detection

no code implementations • 30 Jul 2021 • Haosong Yue, Jinyu Miao, Weihai Chen, Wei Wang, Fanghong Guo, Zhengguo Li

Localizing pre-visited places during long-term simultaneous localization and mapping, i. e. loop closure detection (LCD), is a crucial technique to correct accumulated inconsistencies.

Loop Closure Detection Simultaneous Localization and Mapping

Detecting False Data Injection Attacks in Smart Grids with Modeling Errors: A Deep Transfer Learning Based Approach

no code implementations • 9 Apr 2021 • Bowen Xu, Fanghong Guo, Changyun Wen, Ruilong Deng, Wen-An Zhang

In this paper, an illustrative case has revealed that modeling errors in transmission lines significantly weaken the detection effectiveness of conventional FDIA approaches.

Transfer Learning