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eess.SY2015★ 73 cited
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…
eess.SY2014★ 2 cited
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…