• Consensus-based Distributed Total Least-squares Estimation Using Parametric Semidefinite Programming 

      Gratton, Cristiano; Dasanadoddi Venkategowda, Naveen Kumar; Arablouei, Reza; Werner, Stefan (Chapter, 2019)
      We propose a new distributed algorithm to solve the total least-squares (TLS) problem when data are distributed over a multi-agent network. To develop the proposed algorithm, named distributed ADMM TLS (DA-TLS), we reformulate ...
    • 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 ...
    • Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes 

      Håkansson, Victor Wattin; Dasanadoddi Venkategowda, Naveen Kumar; Kraemer, Frank Alexander; Werner, Stefan (Chapter, 2019)
      This paper develops a method for deciding when to update the prediction model or transmit a set of measurements from the sensor to the fusion centre (FC) to achieve minimal data transmission in a dual prediction scheme ...
    • Distributed Ridge Regression with Feature Partitioning 

      Gratton, Cristiano; Dasanadoddi Venkategowda, Naveen Kumar; Arablouei, Reza; Werner, Stefan (Chapter, 2019)
      We develop a new distributed algorithm to solve the ridge regression problem with feature partitioning of the observation matrix. The proposed algorithm, named D-Ridge, is based on the alternating direction method of ...
    • Optimal Scheduling Policy for Spatio-temporally Dependent Observations using Age-of-Information 

      Håkansson, Victor Wattin; Dasanadoddi Venkategowda, Naveen Kumar; Werner, Stefan (Chapter, 2020)
      This paper proposes an optimal scheduling policy for a remote estimation problem, where sensor observations of two spatio-temporally correlated processes are broadcasted to two remote estimators. At each time instant only ...
    • Privacy-preserving distributed precoder design for decentralized estimation 

      Dasanadoddi Venkategowda, Naveen Kumar; Werner, Stefan (Chapter, 2018)
      We study privacy-preserving precoder design for decentralized estimation in wireless sensor networks where the sensor nodes want their local information such as the channel state information, observation matrices, and ...