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
Privacy Preservation in Distributed Optimization via Dual Decomposition and ADMM
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Published in 2019 IEEE 58th Conference on Decision and Control (CDC) (01.12.2019)
Published in 2019 IEEE 58th Conference on Decision and Control (CDC) (01.12.2019)
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Conference Proceeding
Private Aggregation with Application to Distributed Optimization
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Conference Proceeding
Privacy Preserving Recursive Least Squares Solutions
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Published in 2019 18th European Control Conference (ECC) (01.06.2019)
Published in 2019 18th European Control Conference (ECC) (01.06.2019)
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Conference Proceeding
Secure learning-based MPC via garbled circuit
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Published in 2021 60th IEEE Conference on Decision and Control (CDC) (14.12.2021)
Published in 2021 60th IEEE Conference on Decision and Control (CDC) (14.12.2021)
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Conference Proceeding
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation
Li, Qiongxiu, Gundersen, Jaron Skovsted, Tjell, Katrine, Wisniewski, Rafal, Christensen, Mads Græsbøll
Published in arXiv.org (16.09.2022)
Published in arXiv.org (16.09.2022)
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Paper
Journal Article