740 citations · 2.1k across the 64 of their papers we have counts for
69 papers
Differential Privacy for Class-based Data: A Practical Gaussian Mechanism
Raksha Ramakrishna, Anna Scaglione, Tong Wu +2
In this paper, we present a notion of differential privacy (DP) for data that comes from different classes. Here, the class-membership is private information that needs to be prote…
Blind Graph Matching Using Graph Signals
Hang Liu, Anna Scaglione, Hoi-To Wai
Classical graph matching aims to find a node correspondence between two unlabeled graphs of known topologies. This problem has a wide range of applications, from matching identitie…
Solar Photovoltaic Systems Metadata Inference and Differentially Private Publication
Nikhil Ravi, Anna Scaglione, Julieta Giraldez +3
Stakeholders in electricity delivery infrastructure are amassing data about their system demand, use, and operations. Still, they are reluctant to share them, as even sharing aggre…
Constrained Reinforcement Learning for Predictive Control in Real-Time Stochastic Dynamic Optimal Power Flow
Tong Wu, Anna Scaglione, Daniel Arnold
Deep Reinforcement Learning (DRL) has become a popular method for solving control problems in power systems. Conventional DRL encourages the agent to explore various policies encod…
Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI
Tong Wu, Anna Scaglione, Daniel Arnold
The effective representation, precessing, analysis, and visualization of large-scale structured data over graphs are gaining a lot of attention. So far most of the literature has f…
Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms
Tong Wu, Ignacio Losada Carreno, Anna Scaglione +1
This paper proposes a model-free Volt-VAR control (VVC) algorithm via the spatio-temporal graph ConvNet-based deep reinforcement learning (STGCN-DRL) framework, whose goal is to co…