5 papers · 1 filter
Learning Graph Influence from Social Interactions
Vincenzo Matta, Virginia Bordignon, Augusto Santos +1
In social learning, agents form their opinions or beliefs about certain hypotheses by exchanging local information. This work considers the recent paradigm of weak graphs, where th…
Graph Learning Under Partial Observability
Vincenzo Matta, Augusto Santos, Ali H. Sayed
Many optimization, inference and learning tasks can be accomplished efficiently by means of decentralized processing algorithms where the network topology (i.e., the graph) plays a…
Interplay between Topology and Social Learning over Weak Graphs
Vincenzo Matta, Virginia Bordignon, Augusto Santos +1
We consider a social learning problem, where a network of agents is interested in selecting one among a finite number of hypotheses. We focus on weakly-connected graphs where the n…
Topology Inference over Networks with Nonlinear Coupling
Augusto Santos, Vincenzo Matta, Ali H. Sayed
This work examines the problem of topology inference over discrete-time nonlinear stochastic networked dynamical systems. The goal is to recover the underlying digraph linking the…
Local Tomography of Large Networks under the Low-Observability Regime
Augusto Santos, Vincenzo Matta, Ali H. Sayed
This article studies the problem of reconstructing the topology of a network of interacting agents via observations of the state-evolution of the agents. We focus on the large-scal…