10 citations · 15 across the 5 of their papers we have counts for
7 papers
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…
Privacy in Distributed Computations based on Real Number Secret Sharing
Katrine Tjell, Rafael Wisniewski
Privacy preservation in distributed computations is an important subject as digitization and new technologies enable collection and storage of vast amounts of data, including priva…
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…
Model reduction of linear hybrid systems
Ion Victor Gosea, Mihaly Petreczky, John Leth +2
The paper proposes a model reduction algorithm for linear hybrid systems, i.e., hybrid systems with externally induced discrete events, with linear continuous subsystems, and linea…
Optimization and Positivity Certificates of Rational Functions using Bernstein Form
Tareq Hamadneh, Hassan Al-Zoubi, Hamza Alzaareer +1
Rational functions of total degree in n variables have a representation in the Bernstein form defined over dimensional simplex. The range of a rational function is bounded…
On Robust Stability of Switched Systems in the Context of Filippov Solutions
Mohamadreza Ahmadi, Hamed Mojallali, Rafael Wisniewski
The stability problem of a class of nonlinear switched systems defined on compact sets with state-dependent switching is considered. Instead of the Caratheodory solutions, the gene…