753 citations · 5.3k across the 110 of their papers we have counts for
7 papers · 2 filters
Distributed Bayesian Learning of Dynamic States
Mert Kayaalp, Virginia Bordignon, Stefan Vlaski +2
This work studies networked agents cooperating to track a dynamical state of nature under partial information. The proposed algorithm is a distributed Bayesian filtering algorithm…
Networked Signal and Information Processing
Stefan Vlaski, Soummya Kar, Ali H. Sayed +1
The article reviews significant advances in networked signal and information processing, which have enabled in the last 25 years extending decision making and inference, optimizati…
On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference
Mert Kayaalp, Yunus Inan, Emre Telatar +1
We study the asymptotic learning rates under linear and log-linear combination rules of belief vectors in a distributed hypothesis testing problem. We show that under both combinat…
Online Graph Learning from Social Interactions
Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski +1
Social learning algorithms provide models for the formation of opinions over social networks resulting from local reasoning and peer-to-peer exchanges. Interactions occur over an u…
Explainability and Graph Learning from Social Interactions
Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski +1
Social learning algorithms provide models for the formation of opinions over social networks resulting from local reasoning and peer-to-peer exchanges. Interactions occur over an u…
Optimal Aggregation Strategies for Social Learning over Graphs
Ping Hu, Virginia Bordignon, Stefan Vlaski +1
Adaptive social learning is a useful tool for studying distributed decision-making problems over graphs. This paper investigates the effect of combination policies on the performan…