Consistency in a model for distributed learning with specialists
Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor · 2004
Motivated by sensor networks and traditional methods of statistical pattern recognition, a model for distributed learning is formulated. The model is in line with learning models considered in the context of Stone-type classifiers, but differs in the dependency structure of the sampling process; questions of universal consistency are addressed.