16 citations · 45 across the 10 of their papers we have counts for
3 papers · 1 filter
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 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…