98 citations · 291 across the 38 of their papers we have counts for
5 papers · 1 filter
Learning from Heterogeneous Data Based on Social Interactions over Graphs
Virginia Bordignon, Stefan Vlaski, Vincenzo Matta +1
This work proposes a decentralized architecture, where individual agents aim at solving a classification problem while observing streaming features of different dimensions and aris…
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…
Self-aware Social Learning over Graphs
Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski +1
In this paper we study the problem of social learning under multiple true hypotheses and self-interested agents which exchange information over a graph. In this setup, each agent r…
Competing Adaptive Networks
Stefan Vlaski, Ali H. Sayed
Adaptive networks have the capability to pursue solutions of global stochastic optimization problems by relying only on local interactions within neighborhoods. The diffusion of in…
Deception in Social Learning
Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski +1
A common assumption in the social learning literature is that agents exchange information in an unselfish manner. In this work, we consider the scenario where a subset of agents ai…