Browsing NTNU Open by Author "Moradi, Ashkan"

Now showing items 1-8 of 8

    • Communication-efficient and privacy-aware distributed learning 

      Gogineni, Vinay Chakravarthi; Moradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; Werner, Anders Stefan (Peer reviewed; Journal article, 2023)
      Communication efficiency and privacy are two key concerns in modern distributed computing systems. Towards this goal, this article proposes partial sharing private distributed learning (PPDL) algorithms that offer communication ...

    • Communication-efficient and privacy-aware distributed LMS algorithm 

      Gogineni, Vinay Chakravarthi; Moradi, Ashkan; Kumar Dasanadoddi Venkategowda, Naveen; Werner, Stefan (Chapter, 2022)
      This paper presents a private-partial distributed least mean square (PP-DLMS) algorithm that offers energy efficiency while preserving privacy and is suitable for applications with limited resources and strict security ...

    • Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering 

      Moradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; Werner, Stefan (Chapter; Peer reviewed, 2019)
      Abstract—This paper considers consensus-based distributed Kalman filtering subject to data-falsification attack, where Byzan- tine agents share manipulated data with their neighboring agents. The attack is assumed to be ...

    • 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 ...

    • Distributed Learning and Estimation with Enhanced Privacy and Security 

      Moradi, Ashkan (Doctoral theses at NTNU;2023:59, Doctoral thesis, 2023)
      This thesis focuses on threat analysis and management in distributed learning scenarios intending to develop algorithms to mitigate the impact of adversaries in the network. The thesis begins with a threat analysis that ...

    • 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 ...

    • Total Variation-Based Distributed Kalman Filtering for Resiliency Against Byzantines 

      Moradi, Ashkan; Venkategowda, Naveen K. D.; Werner, Anders Stefan (Peer reviewed; Journal article, 2023)
      This article proposes a distributed Kalman filter (DKF) with enhanced robustness against Byzantine adversaries. A Byzantine agent is a legitimate network agent that, unlike an honest agent, manipulates information before ...