Jun 29, 2017 · We propose an adaptive stochastic algorithm based on the projection gradient method and diffusion strategies in order to allow the network to ...

Abstract—We consider distributed multitask learning problems over a network of agents where each agent is interested in estimating its own parameter vector, ...

An adaptive stochastic algorithm based on the projection gradient method and diffusion strategies is proposed in order to allow the network to optimize the ...

We propose an adaptive stochastic algorithm based on the projection gradient method and diffusion strategies in order to allow the network to optimize the ...

The multitask diffusion LMS is an efficient strategy to simultaneously infer, in a collaborative manner, multiple parameter vectors. Existing works on multitask ...

Diffusion LMS for multitask problems with local linear equality constraints ... problems · Next Article Coordinate-descent diffusion learning by networked agents.

Diffusion LMS for multitask problems with local linear equality constraints. Nassif, R., Richard, C., Ferrari, A., & Sayed, A. H. Signal Processing, IEEE ...

... A more general scenario is considered in [22] where it is assumed that the tasks across the agents are locally coupled through linear equality constraints.

Diffusion LMS for multitask problems with local linear equality constraints. R Nassif, C Richard, A Ferrari, AH Sayed. IEEE Transactions on Signal Processing ...

Article Dans Une Revue IEEE Transactions on Signal Processing Année : 2017. Diffusion LMS for Multitask Problems With Local Linear Equality Constraints.