Total Variation-Based Distributed Kalman Filtering for Resiliency Against Byzantines
Author:
Affiliation:
1. Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway
2. Department of Science and Technology (ITN), Linköping University, Linköping, Sweden
Funder
Research Council of Norway
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10043099/10012654.pdf?arnumber=10012654
Reference52 articles.
1. Secure Distributed Estimation Against Data Integrity Attacks in Internet-of-Things Systems
2. Distributed secure state estimation for cyber–physical systems under sensor attacks
3. Privacy-Preserving Distributed Kalman Filtering
4. Distributed Maximum Correntropy Filtering for Stochastic Nonlinear Systems Under Deception Attacks
5. Variance Reduction-Boosted Byzantine Robustness in Decentralized Stochastic Optimization
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