activity
20142023
most citedMultitask learning over graphs: An Approach for Distributed, Streaming Machine Learning

98 citations · 343 across the 12 of their papers we have counts for

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Showing cs.MAShow all

5 papers · 1 filter

cs.MA2019

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…

cs.MA2019★ 37 cited

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…

cs.MA2018

Learning over Multitask Graphs -- Part II: Performance Analysis

Roula Nassif, Stefan Vlaski, Cedric Richard +1

Part I of this paper formulated a multitask optimization problem where agents in the network have individual objectives to meet, or individual parameter vectors to estimate, subjec…

cs.MA2018

Learning over Multitask Graphs -- Part I: Stability Analysis

Roula Nassif, Stefan Vlaski, Cedric Richard +1

This paper formulates a multitask optimization problem where agents in the network have individual objectives to meet, or individual parameter vectors to estimate, subject to a smo…

cs.MA2016★ 68 cited

Diffusion LMS for Multitask Problems with Local Linear Equality Constraints

Roula Nassif, Cédric Richard, André Ferrari +1

We consider distributed multitask learning problems over a network of agents where each agent is interested in estimating its own parameter vector, also called task, and where the…