6 papers
On Decentralized Tracking with ADMM for Problems with Time-Varying Curvature
Marie Maros, Joakim Jalén
We analyze the performance of the alternating direction method of multipliers (ADMM) to track, in a decentralized manner, a solution of a stochastic sequence of optimization proble…
Eco-PANDA: A Computationally Economic, Geometrically Converging, Dual Optimization Method on Time-Varying Undirected Graphs
Marie Maros, Joakim Jaldén
In this paper we consider distributed convex optimization over time-varying undirected graphs. We propose a linearized version of primarily averaged network dual ascent (PANDA) whi…
A geometrically converging dual method for distributed optimization over time-varying graphs
Marie Maros, Joakim Jaldén
In this paper we consider a distributed convex optimization problem over time-varying undirected networks. We propose a dual method, primarily averaged network dual ascent (PANDA),…
Dynamic Power Allocation for Smart Grids via ADMM
Marie Maros, Joakim Jaldén
Electric power distribution systems will encounter fluctuations in supply due to the introduction of renewable sources with high variability in generation capacity. It is therefore…
On the Q-linear convergence of Distributed Generalized ADMM under non-strongly convex function components
Marie Maros, Joakim Jaldén
Solving optimization problems in multi-agent networks where each agent only has partial knowledge of the problem has become an increasingly important problem. In this paper we cons…
PANDA: A Dual Linearly Converging Method for Distributed Optimization over Time-Varying Undirected Graphs
Marie Maros, Joakim Jaldén
In this paper we consider a distributed convex optimization problem over time-varying networks. We propose a dual method that converges R-linearly to the optimal point given that t…