Browsing NTNU Open by Author "Talebi, Sayedpouria"
Now showing items 1-6 of 6
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Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries
Moradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; Talebi, Sayedpouria; Werner, Stefan (Chapter, 2021)This paper proposes a privacy-preserving distributed Kalman filter (PP-DKF) to protect the private information of individual network agents from being acquired by honest-but-curious (HBC) adversaries. The proposed approach ... -
Gradient-Descent Adaptive Filtering Using Gradient Adaptive Step-Size
Talebi, Sayedpouria; Darvishi, Hossein; Werner, Stefan; Salvo Rossi, Pierluigi (Journal article; Peer reviewed, 2022)At the heart of most adaptive filtering techniques lies an iterative statistical optimisation process. These techniques typically depend on adaptation gains, which are scalar parameters that must reside within a region ... -
A joint particle filter for quaternion-valued alpha-stable signals via the characteristic dunction
Talebi, Sayedpouria; Werner, Stefan; Xia, Yili; Took, Clive Cheong; Mandic, Danilo (Chapter, 2022)The filtering paradigm is revisited through the perspective of characteristic functions. This results in the derivation of a novel particle filtering technique for sequential estimation/tracking of quaternion-valued α ... -
On Stability and Convergence of Distributed Filters
Talebi, Sayedpouria; Werner, Stefan; Gupta, Vijay; Huang, Yih-Fang (Peer reviewed; Journal article, 2021)Recent years have bore witness to the proliferation of distributed filtering techniques, where a collection of agents communicating over an ad-hoc network aim to collaboratively estimate and track the state of a system. ... -
Privacy-preserving distributed Kalman filtering
Moradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; Talebi, Sayedpouria; Werner, Stefan (Journal article; Peer reviewed, 2022) -
Securing the Distributed Kalman Filter Against Curious Agents
Moradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; Talebi, Sayedpouria; Werner, Stefan (Chapter, 2021)Distributed filtering techniques have emerged as the dominant and most prolific class of filters used in modern monitoring and surveillance applications, such as smart grids. As these techniques rely on information sharing ...