30 citations · 31 across the 5 of their papers we have counts for
8 papers
Dencentralized learning in the presence of low-rank noise
Roula Nassif, Virginia Bordignon, Stefan Vlaski +1
Observations collected by agents in a network may be unreliable due to observation noise or interference. This paper proposes a distributed algorithm that allows each node to impro…
Diffusion LMS with Communication Delays: Stability and Performance Analysis
Fei Hua, Roula Nassif, Cédric Richard +2
We study the problem of distributed estimation over adaptive networks where communication delays exist between nodes. In particular, we investigate the diffusion Least-Mean- Square…
Online Distributed Learning over Graphs with Multitask Graph-Filter Models
Fei Hua, Roula Nassif, Cédric Richard +2
In this work, we are interested in adaptive and distributed estimation of graph filters from streaming data. We formulate this problem as a consensus estimation problem over graphs…
Network Classifiers With Output Smoothing
Elsa Rizk, Roula Nassif, Ali H. Sayed
This work introduces two strategies for training network classifiers with heterogeneous agents. One strategy promotes global smoothing over the graph and a second strategy promotes…
Adaptation and learning over networks under subspace constraints -- Part II: Performance Analysis
Roula Nassif, Stefan Vlaski, Ali H. Sayed
Part I of this paper considered optimization problems over networks where agents have individual objectives to meet, or individual parameter vectors to estimate, subject to subspac…
Adaptation and learning over networks under subspace constraints -- Part I: Stability Analysis
Roula Nassif, Stefan Vlaski, Ali H. Sayed
This paper considers optimization problems over networks where agents have individual objectives to meet, or individual parameter vectors to estimate, subject to subspace constrain…