421 citations · 2.4k across the 51 of their papers we have counts for
4 papers · 1 filter
Proximal Multitask Learning over Networks with Sparsity-inducing Coregularization
Roula Nassif, Cédric Richard, André Ferrari +1
In this work, we consider multitask learning problems where clusters of nodes are interested in estimating their own parameter vector. Cooperation among clusters is beneficial when…
Multitask diffusion adaptation over asynchronous networks
Roula Nassif, Cédric Richard, André Ferrari +1
The multitask diffusion LMS is an efficient strategy to simultaneously infer, in a collaborative manner, multiple parameter vectors. Existing works on multitask problems assume tha…
Diffusion LMS over Multitask Networks
Jie Chen, Cédric Richard, Ali H. Sayed
The diffusion LMS algorithm has been extensively studied in recent years. This efficient strategy allows to address distributed optimization problems over networks in the case wher…
Diffusion LMS for clustered multitask networks
Jie Chen, Cédric Richard, Ali Sayed
Recent research works on distributed adaptive networks have intensively studied the case where the nodes estimate a common parameter vector collaboratively. However, there are many…