195 citations · 577 across the 20 of their papers we have counts for
30 papers
Compressed Regression over Adaptive Networks
Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
In this work we derive the performance achievable by a network of distributed agents that solve, adaptively and in the presence of communication constraints, a regression problem.…
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…
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…
Distributed Adaptive Learning Under Communication Constraints
Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
This work examines adaptive distributed learning strategies designed to operate under communication constraints. We consider a network of agents that must solve an online optimizat…
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…