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20172022
most citedPrivacy Preserving Set-Based Estimation Using Partially Homomorphic Encryption

15 citations · 43 across the 21 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

eess.SY2019

Recursive Network Estimation From Binary-Valued Observation Data

Yu Xing, Xingkang He, Haitao Fang +1

This paper studies the problem of recursively estimating the weighted adjacency matrix of a network out of a temporal sequence of binary-valued observations. The observation sequen…

eess.SY2019

Distributed Design of Robust Kalman Filters over Corrupted Channels

Xingkang He, Karl Henrik Johansson, Haitao Fang

We study distributed filtering for a class of uncertain systems over corrupted communication channels. We propose a distributed robust Kalman filter with stochastic gains, through…

eess.SY2019

Network Weight Estimation for Binary-Valued Observation Models

Yu Xing, Xingkang He, Haitao Fang +1

This paper studies the estimation of network weights for a class of systems with binary-valued observations. In these systems only quantized observations are available for the netw…

eess.SY2019

Secure distributed filtering for unstable dynamics under compromised observations

Xingkang He, Xiaoqiang Ren, Henrik Sandberg +1

In this paper, we consider a secure distributed filtering problem for linear time-invariant systems with bounded noises and unstable dynamics under compromised observations. A mali…

eess.SY2019★ 1 cited

Distributed Parameter Estimation Under Event-triggered Communications

Xingkang He, Qian Liu, Junfeng Wu +1

In this paper, we study a distributed parameter estimation problem with an asynchronous communication protocol over multi-agent systems. Different from traditional time-driven comm…

eess.SY2019

Asymptotic Properties of Distributed Social Sampling Algorithm

Qian Liu, Xingkang He, Haitao Fang

Social sampling is a novel randomized message passing protocol inspired by social communication for opinion formation in social networks. In a typical social sampling algorithm, ea…