Privacy Preservation in Distributed Optimization via Dual Decomposition and ADMM. - Katrine Tjell; Rafael Wisniewski (CDC, 2019)

Privacy Preserving Recursive Least Squares Solutions. - Katrine Tjell; Ignacio Cascudo; Rafael Wisniewski (ECC, 2019)

Privacy Preservation in Epidemic Data Collection. - Katrine Tjell; Jaron Skovsted Gundersen; Rafael Wisniewski (CoRR, 2020)

Secure learning-based MPC via garbled circuit. - Katrine Tjell; Nils Schlüter; Philipp Binfet; Moritz Schulze Darup (CDC, 2021)

Privacy in Distributed Computations based on Real Number Secret Sharing. - Katrine Tjell; Rafael Wisniewski (CoRR, 2021)

Private Aggregation With Application to Distributed Optimization. - Katrine Tjell; Rafael Wisniewski (IEEE Control. Syst. Lett., 2021)

Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model Using Subspace Perturbation. - Qiongxiu Li; Jaron Skovsted Gundersen; Katrine Tjell; Rafal Wisniewski; Mads Græsbøll Christensen (ICASSP, 2022)