Distributed inference over directed networks: Performance limits and optimal design.
IEEE Transactions on Signal Processing(2016)
摘要
We find large deviations rates for consensus-based distributed inference for directed networks. When the topology is deterministic, we establish the large deviations principle and find exactly the corresponding rate function, equal at all nodes. We show that the dependence of the rate function on the stochastic weight matrix associated with the network is fully captured by its left eigenvector cor...
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关键词
Signal processing algorithms,Topology,Wireless sensor networks,Random variables,Sensors,Inference algorithms,Algorithm design and analysis
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