3 papers
eess.SY2025
Fully Distributed State Estimation for Multi-agent Systems and its Application in Cooperative Localization
Shuaiting Huang, Haodong Jiang, Chengcheng Zhao +2
In this paper, we investigate the distributed state estimation problem for a continuous-time linear multi-agent system (MAS) composed of agents and monitored by the ag…
cs.CR2025
Bilateral Differentially Private Vertical Federated Boosted Decision Trees
Bokang Zhang, Zhikun Zhang, Haodong Jiang +5
Federated learning is a distributed machine learning paradigm that enables collaborative training across multiple parties while ensuring data privacy. Gradient Boosting Decision Tr…
eess.SY2024
Covariance Intersection-based Invariant Kalman Filtering(DInCIKF) for Distributed Pose Estimation
Haoying Li, Xinghan Li, Shuaiting Huang +2
This paper presents a novel approach to distributed pose estimation in the multi-agent system based on an invariant Kalman filter with covariance intersection. Our method models un…