Abstract | ||
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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 tasks at neighboring agents are related according to a set of linear equality constraints. Each agent possesses its own convex cost function of its parameter vector and a set of linear equality constraints involving its ... |
Year | DOI | Venue |
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2017 | 10.1109/TSP.2017.2721930 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
Estimation,Signal processing algorithms,Noise measurement,Network topology,Cost function,Prediction algorithms | Journal | 65 |
Issue | ISSN | Citations |
19 | 1053-587X | 12 |
PageRank | References | Authors |
0.57 | 30 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Roula Nassif | 1 | 57 | 6.89 |
C. Richard | 2 | 48 | 3.47 |
André Ferrari | 3 | 32 | 2.79 |
Ali H. Sayed | 4 | 37 | 3.27 |