7 citations · 13 across the 4 of their papers we have counts for
9 papers
Encrypted Distributed Lasso for Sparse Data Predictive Control
Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas
The least squares problem with L1-regularized regressors, called Lasso, is a widely used approach in optimization problems where sparsity of the regressors is desired. This formula…
Private Weighted Sum Aggregation
Andreea B. Alexandru, George J. Pappas
As large amounts of data are circulated both from users to a cloud server and between users, there is a critical need for privately aggregating the shared data. This paper consider…
Encrypted control for networked systems -- An illustrative introduction and current challenges
M. Schulze Darup, A. B. Alexandru, D. E. Quevedo +1
Cloud computing and distributed computing are becoming ubiquitous in many modern control systems such as smart grids, building automation, robot swarms or intelligent transportatio…
Data-driven control on encrypted data
Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas
We provide an efficient and private solution to the problem of encryption-aware data-driven control. We investigate a Control as a Service scenario, where a client employs a specia…
Secure Multi-party Computation for Cloud-based Control
Andreea B. Alexandru, George J. Pappas
In this chapter, we will explore the cloud-outsourced privacy-preserving computation of a controller on encrypted measurements from a (possibly distributed) system, taking into acc…
Cloud-based Quadratic Optimization with Partially Homomorphic Encryption
Andreea B. Alexandru, Konstantinos Gatsis, Yasser Shoukry +3
The development of large-scale distributed control systems has led to the outsourcing of costly computations to cloud-computing platforms, as well as to concerns about privacy of t…
Cloud-based MPC with Encrypted Data
Andreea B. Alexandru, Manfred Morari, George J. Pappas
This paper explores the privacy of cloud outsourced Model Predictive Control (MPC) for a linear system with input constraints. In our cloud-based architecture, a client sends her p…
On the Limited Communication Analysis and Design for Decentralized Estimation
Andreea B. Alexandru, Sergio Pequito, Ali Jadbabaie +1
This paper pertains to the analysis and design of decentralized estimation schemes that make use of limited communication. Briefly, these schemes equip the sensors with scalar stat…
Decentralized Observability with Limited Communication between Sensors
Andreea B. Alexandru, Sergio Pequito, Ali Jadbabaie +1
In this paper, we study the problem of jointly retrieving the state of a dynamical system, as well as the state of the sensors deployed to estimate it. We assume that the sensors p…