740 citations · 2.1k across the 64 of their papers we have counts for
6 papers · 1 filter
Differentially Private -means Clustering Applied to Meter Data Analysis and Synthesis
Nikhil Ravi, Anna Scaglione, Sachin Kadam +5
The proliferation of smart meters has resulted in a large amount of data being generated. It is increasingly apparent that methods are required for allowing a variety of stakeholde…
Colored Noise Mechanism for Differentially Private Clustering
Nikhil Ravi, Anna Scaglione, Sean Peisert
The goal of this paper is to propose and analyze a differentially private randomized mechanism for the -means query. The goal is to ensure that the information received about th…
Optimum Noise Mechanism for Differentially Private Queries in Discrete Finite Sets
Sachin Kadam, Anna Scaglione, Nikhil Ravi +3
The Differential Privacy (DP) literature often centers on meeting privacy constraints by introducing noise to the query, typically using a pre-specified parametric distribution mod…
A Parallel Distributed Algorithm for the Power SVD Method
Jiaying Li, Sissi Xiaoxiao Wu, Qiang Li +1
In this work, we study how to implement a distributed algorithm for the power method in a parallel manner. As the existing distributed power method is usually sequentially updating…
Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid
Raksha Ramakrishna, Anna Scaglione
The underlying theme of this paper is to explore the various facets of power systems data through the lens of graph signal processing (GSP), laying down the foundations of the Grid…
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
Ruiyuan Wu, Anna Scaglione, Hoi-To Wai +3
In federated learning, models are learned from users' data that are held private in their edge devices, by aggregating them in the service provider's "cloud" to obtain a global mod…