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We consider the problem of solving multiple optimization tasks on the same data in a distributed setting. We focus on consensus-based and incremental optimization strategies. Consensus-based distributed optimizers converge in fewer iterations, but the multiple tasks must be run serially. Incremental optimization algorithms, where the iterate is passed from node to node, have slower convergence guarantees...
This paper considers the problem of learning cellular signaling networks from incomplete measurements of pathway activity. Cells respond to environmental changes (e.g., starvation, heat shock) via a sequence of intracellular protein-protein interactions, leading to the production of proteins which modify their fundamental operations. Biologists have discovered some of these signaling pathways, but...
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