Consensus + innovations distributed inference over networks: cooperation and sensing in networked systems

Soummya Kar, José M. F. Moura · 2013 · IEEE Signal Processing Magazine

Summary. This paper presents distributed inference algorithms that combine consensus mechanisms with real-time sensing innovations across networked agents without central coordination. Agents communicate locally over sparse networks while simultaneously sensing new observations, rather than iterating to consensus between measurements. The authors develop asymptotically optimal approaches that match centralized inference performance by balancing collaboration potential against local innovation potential through mixed-scale stochastic approximation.

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Kar, S., & Moura, J. M. F.. (2013). Consensus + innovations distributed inference over networks: cooperation and sensing in networked systems. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2012.2235193

@article{kar-2013-consensus-innovations-distributed-inference-over,
  title   = {Consensus + innovations distributed inference over networks: cooperation and sensing in networked systems},
  author  = {Soummya Kar and José M. F. Moura},
  journal = {IEEE Signal Processing Magazine},
  year    = {2013},
  doi     = {10.1109/msp.2012.2235193},
  url     = {https://doi.org/10.1109/msp.2012.2235193}
}

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TI  - Consensus + innovations distributed inference over networks: cooperation and sensing in networked systems
AU  - Soummya Kar
AU  - José M. F. Moura
JO  - IEEE Signal Processing Magazine
PY  - 2013
DO  - 10.1109/msp.2012.2235193
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Details

DOI: 10.1109/msp.2012.2235193
Countries: United States
Regions: North America
Categories: innovation-networks, innovation-theory, general-innovation
Added: 2026-04-28