80 citations · 109 across the 15 of their papers we have counts for
4 papers · 1 filter
Second-order Properties of Noisy Distributed Gradient Descent
Lei Qin, Michael Cantoni, Ye Pu
We study a fixed step-size noisy distributed gradient descent algorithm for solving optimization problems in which the objective is a finite sum of smooth but possibly non-convex f…
Customized Local Differential Privacy for Multi-Agent Distributed Optimization
Roel Dobbe, Ye Pu, Jingge Zhu +2
Real-time data-driven optimization and control problems over networks may require sensitive information of participating users to calculate solutions and decision variables, such a…
Asynchronous Splitting Design for Model Predictive Control
Laura Ferranti, Ye Pu, Colin N. Jones +1
This paper focuses on the design of an asynchronous dual solver suitable for embedded model predictive control (MPC) applications. The proposed solver relies on a state-of-the-art…
Inexact Alternating Minimization Algorithm for Distributed Optimization with an Application to Distributed MPC
Ye Pu, Colin N. Jones, Melanie N. Zeilinger
In this paper, we propose the inexact alternating minimization algorithm (inexact AMA), which allows inexact iterations in the algorithm, and its accelerated variant, called the in…