753 citations · 5.3k across the 110 of their papers we have counts for
14 papers · 1 filter
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…
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…
Local Graph-homomorphic Processing for Privatized Distributed Systems
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
We study the generation of dependent random numbers in a distributed fashion in order to enable privatized distributed learning by networked agents. We propose a method that we ref…
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…
Quantization for decentralized learning under subspace constraints
Roula Nassif, Stefan Vlaski, Marco Carpentiero +3
In this paper, we consider decentralized optimization problems where agents have individual cost functions to minimize subject to subspace constraints that require the minimizers a…
A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization
Yunus Inan, Mert Kayaalp, Ali H. Sayed +1
We study a distributed hypothesis testing setup where peripheral nodes send quantized data to the fusion center in a memoryless fashion. The \emph{expected} number of bits sent by…