Bootstrap Model Aggregation for Distributed Statistical Learning

In many cases, the datasets are distributed into multiple machines at different locations, between which communication is expensive or restricted; this can be either because the data volume is too large to store or process in a single machine, or due to privacy constraints as these in healthcare or financial systems.