Distributed statistica inference

How do you design statistics that can be conducted over many nodes? Many algorithms factorise nicely over nodes. I might list some here.

If you wish to solve this with heterogeneous, untrustworthy or ad hoc nodes, as opposed to a nice orderly campus HPC cluster, then perhaps it would be better to think of this as swarm sensing.

Placeholder; I have nothing to say about this right now, although I should mention that message-passing algorithms based on variational inference and graphical models are one possible avenue. The most interesting to me is probably Gaussian belief propagation.





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