2 citations · 6 across the 8 of their papers we have counts for
9 papers
Node and Edge Differential Privacy for Graph Laplacian Spectra: Mechanisms and Scaling Laws
Calvin Hawkins, Bo Chen, Kasra Yazdani +1
This paper develops a framework for privatizing the spectrum of the graph Laplacian of an undirected graph using differential privacy. We consider two privacy formulations. The fir…
Linear Regularizers Enforce the Strict Saddle Property
Matthew Ubl, Kasra Yazdani, Matthew T. Hale
Satisfaction of the strict saddle property has become a standard assumption in non-convex optimization, and it ensures that many first-order optimization algorithms will almost alw…
Edge Differential Privacy for Algebraic Connectivity of Graphs
Bo Chen, Calvin Hawkins, Kasra Yazdani +1
Graphs are the dominant formalism for modeling multi-agent systems. The algebraic connectivity of a graph is particularly important because it provides the convergence rates of con…
Asynchronous Parallel Nonconvex Optimization Under the Polyak-Lojasiewicz Condition
Kasra Yazdani, Matthew Hale
Communication delays and synchronization are major bottlenecks for parallel computing, and tolerating asynchrony is therefore crucial for accelerating parallel computation. Motivat…
Differentially Private Controller Synthesis With Metric Temporal Logic Specifications
Zhe Xu, Kasra Yazdani, Matthew T. Hale +1
Privacy is an important concern in various multiagent systems in which data collected from the agents are sensitive. We propose a differentially private controller synthesis approa…
Error Bounds and Guidelines for Privacy Calibration in Differentially Private Kalman Filtering
Kasra Yazdani, Matthew Hale
Differential privacy has emerged as a formal framework for protecting sensitive information in control systems. One key feature is that it is immune to post-processing, which means…
Differentially Private Smart Metering: Implementation, Analytics, and Billing
Matthew Hale, Prabir Barooah, Kendall Parker +1
Smart power grids offer to revolutionize power distribution by sharing granular power usage data, though this same data sharing can reveal a great deal about users, and there are s…
Differentially Private LQ Control
Kasra Yazdani, Austin Jones, Kevin Leahy +1
As multi-agent systems proliferate and share more user data, new approaches are needed to protect sensitive data while still enabling system operation. To address this need, this p…
Technical Report: Infinite Horizon Discrete-Time Linear Quadratic Gaussian Tracking Control Derivation
Kasra Yazdani, Matthew Hale
This technical report is an accompaniment to the paper "Differentially Private LQ Control" that is currently under review. This technical report provides a complete derivation of t…