Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus
Li, Qiongxiu, Gundersen, Jaron Skovsted, Lopuhaa-Zwakenberg, Milan, Heusdens, Richard
Published in IEEE transactions on information forensics and security (2024)
Published in IEEE transactions on information forensics and security (2024)
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Journal Article
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model Using Subspace Perturbation
Li, Qiongxiu, Gundersen, Jaron Skovsted, Tjell, Katrine, Wisniewski, Rafal, Christensen, Mads Grasboll
Published in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (23.05.2022)
Published in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (23.05.2022)
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Conference Proceeding
Two for the price of one: communication efficient and privacy-preserving distributed average consensus using quantization
Li, Qiongxiu, Lopuhaa-Zwakenberg, Milan, Heusdens, Richard, Christensen, Mads Graesboll
Published in 2022 30th European Signal Processing Conference (EUSIPCO) (29.08.2022)
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Published in 2022 30th European Signal Processing Conference (EUSIPCO) (29.08.2022)
Conference Proceeding
Privacy-Preserving Distributed Graph Filtering
Li, Qiongxiu, Coutino, Mario, Leus, Geert, Christensen, Mads Grasboll
Published in 2020 28th European Signal Processing Conference (EUSIPCO) (24.01.2021)
Published in 2020 28th European Signal Processing Conference (EUSIPCO) (24.01.2021)
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Conference Proceeding