We consider a network of agents that are cooperatively solving a global optimization
problem, where the objective function is the sum of privately known local objective functions …

We propose a distributed algorithm, named Distributed Alternating Direction Method of
Multipliers (D-ADMM), for solving separable optimization problems in networks of …

We develop multi-step gradient methods for network-constrained optimization of strongly
convex functions with Lipschitz-continuous gradients. Given the topology of the underlying …

Gossiping is a distributed process whose purpose is to enable the members of a group of n>
1 autonomous agents to asymptotically determine in a decentralized manner, the average of …

This paper addresses the optimal scaling of the ADMM method for distributed quadratic
programming. Scaled ADMM iterations are first derived for generic equality-constrained …

This paper considers the double-integrator consensus speeding up problem for multi-agent
networks (MANs) asymptotically achieving distributed weighted average. First, basic …

This paper describes and analyzes a hierarchical algorithm called Multiscale Gossip for
solving the distributed average consensus problem in wireless sensor networks. The …

Dit proefschrift betreft gedistribueerde algoritmes voor interacterende autonome agenten.
We heroverwegen een subklasse van stochastische matrices, de Sarymsakov klasse van …

Financial risk management has focused on banking, accounting, and finance, and applied
all kinds types of models to avoid those specific forms of risk. Risk management may be …

This paper studies distributed subspace tracking in wireless networks based on consensus
averaging. Most prior approaches to this require the exchange of many inter-node …