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Consensus

Preprints

  • X. Chen, I. Kuruzov, and G. Scutari, “Adaptive Decentralized Composite Optimization via Three-Operator Splitting,” preprint, arXiv:2602.17545, 2026.

Magazine Papers

  • S. Barbarossa and G. Scutari, “Bio-Inspired Sensor Network Design,” IEEE Signal Processing Magazine, vol. 24, no. 3, pp. 26–35, May 2007 [DOI].

Journal Papers

  • T. Cao, X. Chen, and G. Scutari, “DCatalyst: A Unified Accelerated Framework for Decentralized Optimization,” J. of Machine Learning Research, vol. 27, no. 47, pp. 1–57, 2026.
  • Y. Ji, G. Scutari, Y. Sun, and H. Honnappa, “Distributed Sparse Regression via Penalization,” J. of Machine Learning Research, vol. 24, no. 272, pp. 1–62, 2023.
  • Y. Sun, G. Scutari, and A. Daneshmand, “Distributed Optimization Based on Gradient-Tracking Revisited: Enhancing Convergence Rate via Surrogation,” SIAM J. on Optimization, vol. 32, no. 2, pp. 354–385, 2022 [DOI].
  • A. Daneshmand, G. Scutari, P. Dvurechensky, A. Gasnikov, “Newton Method over Networks is Fast up to the Statistical Precision,” Proc. International Conference on Machine Learning (ICML 2021), PMLR vol. 139, pp. 2398–2409, 2021.
  • C.-S. Lee, N. Michelusi, and G. Scutari, “Limited Rate Distributed Weight-Balancing and Average Consensus over Digraphs,” IEEE Trans. on Automatic Control, vol. 66, no. 10, pp. 4530–4545, Oct. 2021 [DOI].
  • I. Notarnicola, Y. Sun, G. Scutari, and G. Notarstefano, “Distributed Big-Data Optimization via Block-wise Gradient Tracking,” IEEE Trans. on Automatic Control, vol. 66, no. 5, pp. 2045–2060, May 2021 [DOI].
  • G. Scutari and Y. Sun, “Distributed Nonconvex Constrained Optimization over Time-varying Digraphs,” Mathematical Programming, vol. 176, pp. 497–544, 2019 [DOI].
    Highly cited paper (ISI Web of Knowledge, 2019, 2020).
  • P. Di Lorenzo and G. Scutari, “NEXT: In-Network Nonconvex Optimization,” IEEE Trans. on Signal and Information Processing over Networks, vol. 2, no. 2, pp. 120–136, June 2016 [DOI].
    Top 50 downloaded articles in IEEE TSIPN (Dec. 2016 – May 2018).
    Highly cited paper (ISI Web of Knowledge, 2017, 2018, 2019).
  • G. Scutari and S. Barbarossa, “Distributed Consensus Over Wireless Sensor Networks Affected by Multipath Fading,” IEEE Trans. on Signal Processing, vol. 56, no. 8, pp. 4100–4110, Aug. 2008 [DOI].
  • G. Scutari, S. Barbarossa, and L. Pescosolido, “Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Asymmetric Channels,” IEEE Trans. on Signal Processing, vol. 56, no. 4, pp. 1667–1684, April 2008 [DOI].
  • S. Barbarossa and G. Scutari, “Decentralized Maximum-Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems,” IEEE Trans. on Signal Processing, vol. 55, no. 7, pp. 3456–3470, July 2007 [DOI].

Refereed Conference Papers

  • C.-S. Lee, N. Michelusi, and G. Scutari, “Distributed Quantized Weight-Balancing and Average Consensus over Digraphs,” Proc. of the 57th IEEE Conference on Decision and Control (CDC18), Dec. 17–19, 2018, Fontainebleau, Miami Beach, FL, USA.
  • I. Notarnicola, Y. Sun, G. Scutari, and G. Notarstefano, “Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging,” Proc. of the 56th IEEE Conference on Decision and Control, Dec. 12–15, 2017, Melbourne, Australia.
  • A. Daneshmand, Y. Sun, G. Scutari, and F. Facchinei, “D2L: Decentralized Dictionary Learning over Dynamic Networks,” Proc. of the 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP17), March 5–9, 2017, New Orleans, USA.
  • A. Daneshmand, G. Scutari, and F. Facchinei, “Distributed Dictionary Learning,” Proc. of the 50th Asilomar Conference on Signals, Systems, and Computers, Nov. 6–9, 2016, Pacific Grove, CA, USA.
  • Y. Sun, G. Scutari, and D. Palomar, “Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks,” Proc. of the 50th Asilomar Conference on Signals, Systems, and Computers, Nov. 6–9, 2016, Pacific Grove, CA, USA.
  • P. Di Lorenzo and G. Scutari, “Distributed Nonconvex Optimization Over Time-Varying Networks,” Proc. of the 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP16), March 20–25, 2016, Shanghai, China.
  • P. Di Lorenzo and G. Scutari, “Distributed Nonconvex Optimization Over Networks,” Proc. of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, pp. 229–232, Dec. 13–16, 2015, Cancun, Mexico.
  • L. Pescosolido, S. Barbarossa, and G. Scutari, “Average Consensus Algorithms Robust Against Channel Noise,” Proc. of the 9th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC08), pp. 261–265, July 7–9, 2008, Recife, Brazil.
  • L. Pescosolido, S. Barbarossa, and G. Scutari, “Radar Sensor Networks with Distributed Detection Capabilities,” Proc. of the 2008 IEEE Radar Conference, 5 pages, May 26–30, 2008, Sheraton Golf Parco dei Medici, Rome, Italy.
  • A. Fasano and G. Scutari, “The Effect of Additive Noise on Consensus Achievement in Wireless Sensor Networks,” Proc. of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP08), pp. 2277–2280, March 30–April 4, 2008, Las Vegas, NV, USA.
  • G. Scutari and S. Barbarossa, “Optimal Distributed Decision over Wireless Sensor Networks Affected by Multipath Fading,” Proc. of the 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP07), pp. 245–248, Dec. 12–14, 2007, St. Thomas, Virgin Islands, USA.
  • G. Scutari, S. Barbarossa, and L. Pescosolido, “Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Asymmetric Channels,” Proc. of the 8th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC07), June 17–20, 2007, Helsinki, Finland.
  • S. Barbarossa, G. Scutari, and A. Swami, “Achieving Consensus in Self-Organizing Wireless Sensor Networks: The Impact of Network Topology on Energy Consumption,” Proc. of the 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP07), vol. 2, pp. II-841–II-844, April 15–20, 2007, Honolulu, Hawaii, USA.
  • G. Scutari, S. Barbarossa, and L. Pescosolido, “Optimal Decentralized Estimation Through Self-Synchronizing Networks in the Presence of Propagation Delays,” Proc. of the 7th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC06), July 2–5, 2006, Cannes, France.
  • S. Barbarossa, G. Scutari, and L. Pescosolido, “Global stability of a Population of Mutually Coupled Oscillators Reaching Global Maximum Likelihood Estimate Through a Decentralized Approach,” Proc. of the 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP06), vol. 4, pp. 385–388, May 14–19, 2006, Toulouse, France.