10 citations · 16 across the 5 of their papers we have counts for
5 papers
Detection of Malicious Agents in Social Learning
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Non-Bayesian social learning is a framework for distributed hypothesis testing aimed at learning the true state of the environment. Traditionally, the agents are assumed to receive…
Social Learning in Community Structured Graphs
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Traditional social learning frameworks consider environments with a homogeneous state, where each agent receives observations conditioned on that true state of nature. In this work…
Discovering Influencers in Opinion Formation over Social Graphs
Valentina Shumovskaia, Mert Kayaalp, Mert Cemri +1
The adaptive social learning paradigm helps model how networked agents are able to form opinions on a state of nature and track its drifts in a changing environment. In this framew…
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…