Distributed function estimation: Adaptation using minimal communication

We investigate whether in a distributed setting, adaptive estimation of smooth function at the optimal rate is possible under minimal communication. It turns out that answer depends on risk considered and number servers over which procedure distributed. show for $L\_\infty$-risk, adaptively obtaining rates communication not possible. For $L\_2$-risk, it range regularities relation between local total sample size.