Post-processing immunity is a fundamental property of differential priva...
A critical concern in data-driven decision making is to build models who...
The AC Optimal Power Flow (AC-OPF) is a key building block in many power...
This paper is motivated by applications of a Census Bureau interested in...
This paper develops a novel differentially private framework to solve co...
Although distribution grid customers are obliged to share their consumpt...
This paper introduces a differentially private (DP) mechanism to protect...
This paper studies how to apply differential privacy to constrained
opti...
A variety of computationally challenging constrained optimization proble...
This paper introduces a differentially private mechanism to protect the
...
This paper considers the problem of releasing privacy-preserving load da...
The Optimal Power Flow (OPF) problem is a fundamental building block for...
The paper studies how to release data about a critical infrastructure ne...
The availability of high-fidelity energy networks brings significant val...
Many applications of machine learning and optimization operate on data
s...
A number of applications benefit from continuously releasing streams of
...
The field of Distributed Constraint Optimization has gained momentum in
...
The field of Distributed Constraint Optimization has gained momentum in
...
The field of Multi-Agent System (MAS) is an active area of research with...