Adaptive distributed methods under communication constraints

We study distributed estimation methods under communication constraints in a distributed version of the nonparametric signal-in-white-noise model. We derive minimax lower bounds and exhibit methods that attain those bounds. Moreover, we show that adaptive estimation is possible in this setting.