16 citations · 45 across the 10 of their papers we have counts for
11 papers
Puncturing for Adaptive Entanglement-Assisted Stabilizer Codes
Nicolai Peder Bülow Pedersen, Jakob Kaltoft Søndergaard, Jaron Skovsted Gundersen +2
Quantum error-correcting codes are essential for reliable quantum communication. The achievable parameters can be improved by using entanglement-assisted stabilizers at the cost of…
When Is Distributed Nonlinear Aggregation Private? Optimality and Information-Theoretical Bounds
Wenrui Yu, Jaron Skovsted Gundersen, Richard Heusdens +1
Nonlinear aggregation is central to modern distributed systems, yet its privacy behavior is far less understood than that of linear aggregation. Unlike linear aggregation where mat…
Deflating quantum error-correcting codes
Jaron Skovsted Gundersen, Rene Bødker Christensen, Petar Popovski +1
In this work, we introduce a technique for reducing the length of a quantum stabilizer code, and we call this deflation of the code. Deflation can be seen as a generalization of th…
Puncturing Quantum Stabilizer Codes
Jaron Skovsted Gundersen, René Bødker Christensen, Markus Grassl +2
Classical coding theory contains several techniques to obtain new codes from other codes, including puncturing and shortening. For quantum codes, a form of puncturing is known, but…
Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus
Qiongxiu Li, Jaron Skovsted Gundersen, Milan Lopuhaa-Zwakenberg +1
Privacy-preserving distributed average consensus has received significant attention recently due to its wide applicability. Based on the achieved performances, existing approaches…
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation
Qiongxiu Li, Jaron Skovsted Gundersen, Katrine Tjell +2
Privacy has become a major concern in machine learning. In fact, the federated learning is motivated by the privacy concern as it does not allow to transmit the private data but on…
Investigation of Alternative Measures for Mutual Information
Bulut Kuskonmaz, Jaron Skovsted Gundersen, Rafal Wisniewski
Mutual information is a useful definition in information theory to estimate how much information the random variable holds about the random variable . One way to de…
Secure PAC Bayesian Regression via Real Shamir Secret Sharing
Jaron Skovsted Gundersen, Bulut Kuskonmaz, Rafael Wisniewski
A common approach of system identification and machine learning is to generate a model by using training data to predict the test data instances as accurate as possible. Nonetheles…
Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms
Qiongxiu Li, Jaron Skovsted Gundersen, Richard Heusdens +1
Privacy-preserving distributed processing has recently attracted considerable attention. It aims to design solutions for conducting signal processing tasks over networks in a decen…
Privacy Preservation in Epidemic Data Collection
Katrine Tjell, Jaron Skovsted Gundersen, Rafael Wisniewski
This work is inspired by the outbreak of COVID-19, and some of the challenges we have observed with gathering data about the disease. To this end, we aim to help collect data about…
Squares of Matrix-product Codes
Ignacio Cascudo, Jaron Skovsted Gundersen, Diego Ruano
The component-wise or Schur product of two linear error correcting codes and over certain finite field is the linear code spanned by all component-wise products of…