1. A method, comprising: communicating, by a node in a network executing a learning machine (LM), an expert discovery request into the network to discover one or more experts; receiving, from the one or more experts, one or more expert discovery responses; building, based on the one or more expert discovery responses, a dynamic multicast tree of experts to create a communication infrastructure for the LM to interact with multiple experts for supervised learning; determining, by the node, that the LM does not have a way of categorizing a certain set of data received at the node; in response to determining that the LM cannot categorize the certain set of data, triggering, by the node, an on-the-fly tunnel connection to at least one of the one or more experts in the multicast tree of experts; sending, by the node, an expert request message over the on-the-fly tunnel connection, the expert request message requesting input by the at least one expert to categorize the certain set of data for the LM; receiving, at the node, one or more expert input responses; and categorizing, by the LM on the node, the certain set of data based on the one or more expert input responses.
5. The method according to claim 1 , further comprising: evaluating, based on the received one or more expert discovery responses, the one or more experts.