2017
Learning by networked agents under partial information
ICASSP 2017accepted
In many scenarios of interest, agents may only have access to partial information about an unknown model or target vector. Each agent may be sensing only a subset of the entries of a global target vector, and the number of these entries can be different across the agents. If each of the agents were…