4 citations · 5 across the 11 of their papers we have counts for
9 papers · 1 filter
Memory-Aware Social Learning under Partial Information Sharing
Michele Cirillo, Virginia Bordignon, Vincenzo Matta +1
This work examines a social learning problem, where dispersed agents connected through a network topology interact locally to form their opinions (beliefs) as regards certain hypot…
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…
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…
Social Opinion Formation and Decision Making Under Communication Trends
Mert Kayaalp, Virginia Bordignon, Ali H. Sayed
This work studies the learning process over social networks under partial and random information sharing. In traditional social learning models, agents exchange full belief informa…
Hidden Markov Modeling over Graphs
Mert Kayaalp, Virginia Bordignon, Stefan Vlaski +1
This work proposes a multi-agent filtering algorithm over graphs for finite-state hidden Markov models (HMMs), which can be used for sequential state estimation or for tracking opi…
Network Classifiers Based on Social Learning
Virginia Bordignon, Stefan Vlaski, Vincenzo Matta +1
This work proposes a new way of combining independently trained classifiers over space and time. Combination over space means that the outputs of spatially distributed classifiers…
Partial Information Sharing over Social Learning Networks
Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
This work addresses the problem of sharing partial information within social learning strategies. In traditional social learning, agents solve a distributed multiple hypothesis tes…
Adaptation in Online Social Learning
Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
This work studies social learning under non-stationary conditions. Although designed for online inference, classic social learning algorithms perform poorly under drifting conditio…
Social Learning with Partial Information Sharing
Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
This work studies the learning abilities of agents sharing partial beliefs over social networks. The agents observe data that could have risen from one of several hypotheses and in…