Publications

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Authorship order adopted with an advisee (either a student or postdoctoral scholar) is generally advisee followed by faculty members (listed in alphabetical order), unless there is a significant distinction in contributions


PhD Dissertation

  • Gesualdo Scutari, “Competition and Cooperation in Wireless Communication Networks,” PhD. Dissertation, University of Rome, “La Sapienza”, Rome, Italy, March 2005.

Lecture Notes

  • Angelia Nedic, Jong-Shi Pang, Gesualdo Scutari, and Ying Sun, Multi-agent Optimization. Lecture Notes in Mathematics, Springer Verlag, CIME Foundation Subseries, 2018 [link]

Book Chapters

  • Francisco Facchinei, Vyacheslav Kungurtsev, Lorenzo Lampariello, and Gesualdo Scutari, "Iterative Complexity of a Fixed-Step SQP Method for NonConvex Optimization with Convex Constraints," p. 109-120, Numerical Analysis and Optimization, 2020
  • Gesualdo Scutari and Ying Sun, "Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization", C.I.M.E Lecture Notes in Mathematics, Springer Verlag Series, 2018, 158 pages. [PDF]
  • Gesualdo Scutari, Daniel P. Palomar, Francisco Facchinei, and Jong-Shi Pang, "Monotone Games for Cognitive Radio Systems," in Distributed Decision-Making and Control, Eds. Anders Rantzer and Rolf Johansson, Lecture Notes in Control and Information Sciences Series, Springer Verlag, 2011.
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, "Competitive Optimization of Cognitive Radio MIMO Systems via Game Theory,” Chapter 11, in Convex Optimization in Signal Processing and Communications, Cambridge University Press, 2009.
  • Sergio Barbarossa, Gesualdo Scutari, and Loreto Pescosolido, “Distributed Space-time Coding Techniques for Multihop Networks,” in Smart Antennas–State-of-the-Art, vol. 4, Chapter 25, EURASIP Hindawi Book Series on SP&C, T. Kaiser, A. Bourdoux, H. Boche, J. R. Fonollosa, J. B. Andersen, and W. Utschick, Editors, ISBN 977-5945-09-7, 2005.

Patents

  • Gesualdo Scutari and Daniel P. Palomar, "Multiple-Input Multiple-Output Cognitive MIMO Radio," US Patent 20,120,071,102, 2012, March 2012.

Preprints

  • Ying Sun, Marie Maros, Gesualdo Scutari, and Guang Cheng, "High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees," working paper [PFD] 2022.

Magazine Papers

  • Gesualdo Scutari, Francisco Facchinei, Daniel P. Palomar, and Jong-Shi Pang, “Convex Optimization, Game Theory, and Variational Inequality Theory in Multiuser Communication Systems,” IEEE Signal Processing Magazine, vol. 27, no. 3, pp. 35–49, May 2010. [Top 100 downloaded articles in IEEE among 1.25 million articles available (April-July 2010)], [Top 10 downloaded articles in IEEE SP Magazine (April-August 2010)].
  • Gesualdo Scutari, Daniel P. Palomar, Jong-Shi Pang, and Francisco Facchinei, “Flexible Design for Cognitive Wireless Systems: From Game Theory to Variational Inequality Theory,” IEEE Signal Processing Magazine, vol. 26, no. 5, pp. 107–123, Sept. 2009. [Top 100 downloaded articles in IEEE among 1.25 million articles available (Sept. 2009)], [Top 10 downloaded articles in IEEE SP Magazine (Oct. 2009)].
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Cognitive MIMO Radio: Competitive Optimality Design Based on Subspace Projections,” IEEE Signal Processing Magazine, vol. 25, no. 6, pp. 46–59, Nov. 2008. [Top 100 downloaded articles in IEEE among 1.25 million articles available (Jan. – Mar. 2009)], [Top 10 downloaded articles in IEEE SP Magazine (Mar. 2009)].
  • Sergio Barbarossa and Gesualdo Scutari, “Bio-Inspired Sensor Network Design,” IEEE Signal Processing Magazine, vol. 24, no. 3, pp. 26–35, May 2007.

Journals and Selected Conference Papers

  • Yao Ji, Gesualdo Scutari, Ying Sun, and Harsha Honnappa, "Distributed (ATC) Gradient Descent for High Dimension Sparse Linear Regression", IEEE Trans. on Information Theory, vol. 69, no. 8, pp. 5253—5276, 2023.
  • Yao Ji, Gesualdo Scutari, Ying Sun, and Harsha Honnappa, "Distributed Sparse Regression via Penalization," Journal of Machine Learning Research , Vol. 24, pp. 1-62, 2023.
  • Marie Maros and Gesualdo Scutari, "Acceleration in Distributed Sparse Regression," in Proc. of the Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS 2022), Nov. 29-Dec. 9, 2022.
  • Marie Maros and Gesualdo Scutari, "DGD^2: A Linearly Convergent Distributed Algorithm for High-dimensional Statistical Recovery" in Proc. of the Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS 2022), Nov. 29-Dec. 9, 2022.
  • Dmitry Kovalev, Aleksandr Beznosikov, Ekaterina Borodich, Alexander Gasnikov, and Gesualdo Scutari, "Optimal Gradient Sliding and Its Application to Distributed Optimization under Similarity," in Proc. of the Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS 2022), Nov. 29-Dec. 9, 2022.
  • Nicolo' Michelusi, Gesualdo Scutari, and Chang-Shen Lee, "Finite-Bit Quantization for Distributed Algorithms with Linear Convergence," IEEE Trans. on Information Theory, vol. 68, no. 11, pp. 7254-7280, Nov. 2022. [PDF]
  • Ye Tian, Gesualdo Scutari, Tianyu Cao, and Alexander Gasnikov, "Acceleration in Distributed Optimization under Similarity," in Proc. of the 25th International Conference on Artificial Intelligence and Statistics, 2022 (AISTATS 2022), [PDF]
  • Ying Sun, Gesualdo Scutari, and Amir 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. A longer version of the paper can be found here [PDF]
  • Kostans Slavakis, Gaurav Shetty, Loris Cannelli, Gesualdo Scutari, Ukash Nakarmi, and Leslie Ying, "Kernel Regression Imputation in Manifolds via Bi-linear Modeling: The Dynamic MRI case," IEEE Trans. on Computational Imaging, vol. 8, pp. 133-147, 2022
  • Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, and Alexander Gasnikov, "Distributed Saddle Point Problems under Similarity," in Proc. of the Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Dec. 7-10, 2021 [PDF]
  • Jinming Xu, Ye Tian, Ying Sun, and Gesualdo Scutari, "Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis" IEEE Trans. on Signal Processing, vol. 69, pp. 3555-3570, June 2021.
  • Chang-Shen Lee, Nicolo' Michelusi, and Gesualdo 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. [PDF]
  • Amir Daneshmand, Gesualdo Scutari, Pavel Dvurechensky, Alexander Gasnikov, "Newton Method over Network is Fast up to Statistical Precision," Proc. of the 38th International Conference on Machine Learning (ICML 2021), PMLR vol 139, pp. 2398-2409, 2021. [PDF]
  • Jinming Xu, Ye Tian, Ying Sun, and Gesualdo Scutari, "Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks," in Proc. of the Twenty-Third International Conference on artificial Intelligence and Statistics (AISTATS 2020), PMLR vol. 108, pp. 2381-2391, 2020
  • Francisco Facchinei, Vyacheslav Kungurtsev, Lorenzo Lampariello, and Gesualdo Scutari, "Diminishing Stepsize methods for Composite Problems with Ghost Penalty: From the General to the Convex Regular Constrained case," Optimization Methods and Software, p. 1-27, 2020 [PDF]
  • Loris Cannelli, Francisco Facchinei, Gesualdo Scutari, and Vyacheslav Kungurtsev, "Asynchronous Optimization Over Graphs: Linear Convergence under Error Bound Conditions," IEEE Trans. on Automatic Control, vol. 66, no. 16, pp. 4604-4619, Oct. 2020
  • Ivano Notarnicola, Ying Sun, Gesualdo Scutari, and Giuseppe Notarstefano, "Distributed Big-Data Optimization via Block-wise Gradient Tracking," IEEE Trans. on Automatic Control, vol. 66, no. 5, pp. 2045-2060, July 2020.[PDF]
  • Amir Daneshmand, Gesualdo Scutari, and Vyacheslav Kungurtsev "Second Order Guarantees of Distributed Gradient Algorithms," SIAM J. on Optimization, vol. 30, no. 4, pp. 3029-3068, 2020. [PDF]
  • Francisco Facchinei, Vyacheslav Kungurtsev, Lorenzo Lampariello, and Gesualdo Scutari, "Ghost Penalty in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration Complexity," Mathematics of Operations Research, vol. 46, no. 2, p. 595-626, 2021
  • Ye Tian, Ying Sun, and Gesualdo Scutari, "Achieving Linear Convergence in Distributed Asynchronous Multi-agent Optimization" IEEE Trans. on Automatic Control, vol. 65, no. 12, pp. 5264-5279, March 2020. [PDF]
  • Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, and Brian Sadler, ''Decentralized Dictionary Learning over Time-varying Digraphs," Journal of Machine Learning Research , Vol. 20, no. 139, pp. 1-62, 2019 [PDF].
  • Gaurav Shetty, Kostas Slavakis, Abhishek Bose, Ukash Nakarmi, Gesualdo Scutari, and Leslie Ying, "Bi-Linear Modeling of Data Manifolds for Dynamic-MRI recovery," IEEE Tans. on Medical Imaging , vol. 39, n0. 3, pp. 688-702, March 2020 [PDF]
  • Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, and Gesualdo Scutari, "Asynchronous Parallel Algorithms for Nonconvex Optimization”, Mathematical Programming, vol. 184, pp. 121-154, 2020 [PDF]
  • Gesualdo Scutari and Ying Sun, ''Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs,'' Mathematical Programming, vol. 176, no. 1-2, pp. 497-544, July 2019. [PDF].
  • Francisco Facchinei, Lorenzo Lampariello, and Gesualdo Scutari, "Feasible Methods for Nonconvex Nonsmooth Problems with Applications in Green Communications," Mathematical Programming, vol. 162, no. 1-2, pp. 55-90, July 2017
  • Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello, Stefania Sardellitti, and Peiran Song, “Parallel and Distributed Methods for Nonconvex Optimization-Part II: Applications in Communications and Machine Learning,” IEEE Trans. on Signal Processing, vol. 65, no. 8, pp. 1945-1960, April 2017 (online since Dec. 2016).
  • Gesualdo Scutari, Francisco Facchinei, and Lorenzo Lampariello, “Parallel and Distributed Methods for Nonconvex Optimization-Part I: Theory," IEEE Trans. on Signal Processing, vol. 65, no. 8, pp. 1929-1944, April 2017 (online since Dec. 2016). [ISI Web of Knowledge Highly cited paper, 2018-2020]
  • Paolo Di Lorenzo and Gesualdo Scutari, “NEXT: In-Network Nonconvex Optimization,” IEEE Trans. on Signal and Information Processing over Networks, vol. 2, no. 2, pp. 120-136, June 2016 [PDF].
  • Yang Yang, Gesualdo Scutari, Daniel Palomar, and Marius Pesavento, "A Parallel Stochastic Optimization Method for Nonconvex Multi-Agent Optimization Problems," IEEE Trans. on Signal Processing, vol. 64, no. 11, pp. 2949-2964, June 2016 [PDF].
  • Stefania Sardellitti, Gesualdo Scutari, and Sergio Barbarossa, “Joint Optimization of Radio and Computational Resources for Multi-Cell Mobile-Edge Computing,’” IEEE Trans. on Signal and Information Processing over Networks, vol. 1, no. 2, pp. 89–103, June 2015 [PDF]. 2020 IEEE Signal Processing Society Best Paper Award
  • Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev, and Gesualdo Scutari, "Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization," IEEE Trans. on Signal Processing, vol. 63, no. 13, pp. 3914–3929, August 2015. [the order of the authors is alphabetic] [PDF] [Top 50 downloaded articles in IEEE TSP, July 2015].
  • Francisco Facchinei, Gesualdo Scutari, and Simone Sagratella, “Parallel Selective Algorithms for Big Data Optimization,” IEEE Trans. on Signal Processing, vol. 63, no. 7, pp. 1874-1889, April 2015 [the first two authors contributed equally to the paper] [PDF]. [Top 10 downloaded articles in IEEE TSP, March 2015; Top 50 downloaded articles in IEEE TSP, April 2015, May 2015].
  • Zhangyu Guan, Tommaso Melodia, and Gesualdo Scutari, “To Transmit or Not to Transmit? Distributed Queueing Games for Infrastructureless Wireless Networks,” IEEE Trans. on Networking, to appear, 2015.
  • Alberth Alvarado, Gesualdo Scutari, and Jong-Shi Pang, "A New Distributed DC-Programming Method and its Application to Physical Layer Security," IEEE Trans. on Signal Processing, vol. 62, no. 11, pp. 2984–2998, June 2014.
  • Gesualdo Scutari, Francisco Facchinei, Jong-Shi Pang, and Daniel Palomar, “Real and Complex Monotone Communication Games,” IEEE Trans. on Information Theory, vol. 60, no. 7, pp. 4197–4231, July 2014.
  • Francisco Facchinei, Jong-Shi Pang, and Gesualdo Scutari, “Non-Cooperative Games with Minmax Objectives,” Computational Optimization and Applications, Springer, March 2014.
  • Italo Atzeni, Luis G. Ordonez, Gesualdo Scutari, Daniel P. Palomar, and Javier R. Fonollosa, “Noncooperative Day-Ahead Bidding Strategies for Demand-Side Expected Cost Minimization with Real-Time Adjustments,” IEEE Trans. on Signal Processing, vol. 62, no. 9, pp. 2397-2412, May 2014.
  • Gesualdo Scutari, Francisco Facchinei, Peiran Song, Daniel P. Palomar, and Jong-Shi Pang, “Decomposition by Partial Linearization: Parallel Optimization of Multiuser Systems,” IEEE Trans. on Signal Processing, vol. 63, no. 3, pp. 641-656, Feb. 2014. [PDF]. 2015 IEEE Signal Processing Society Young Author Best Paper Award. [ISI Web of Knowledge Highly cited paper, 2016-2020].
  • Yang Yang, Francisco Rubio, Gesualdo Scutari, and Daniel P. Palomar, “Multi-Portfolio Optimization: A Potential Game Approach,” IEEE Trans. on Signal Processing, vol. 61, no. 22, pp. 5590–5602, Nov. 2013. [Top 10 downloaded articles in IEEE TSP (Oct. 2013)].
  • Yang Yang, Gesualdo Scutari, Peiran Song, and Daniel P. Palomar, “Robust MIMO Cognitive Radio under Interference Temperature Constraints,” IEEE J. on Selected Areas in Communications, vol. 31, no. 11, pp. 2465–2482, Nov. 2013.
  • Italo Atzeni, Luis G. Ordonez, Gesualdo Scutari, Daniel P. Palomar, and Javier R. Fonollosa, “Noncooperative and Cooperative Optimization of Distributed Energy Generation and Storage in the Demand-Side of the Smart Grid,” IEEE Trans. on Signal Processing, vol. 61, no. 10, pp. 2454–2472, May 2013. [Top 10 downloaded articles in IEEE TSP (June, July 2013)].
  • Francisco Facchinei, Jong-Shi Pang, Gesualdo Scutari, and Lorenzo Lampariello, "VI-constrained Hemivariational Inequalities: Distributed Algorithms and Power Control in Ad-Hoc Networks," Mathematical Programming, Feb. 2013, DOI: 10.1007/s10107-013-0640-5.
  • Jong-Shi Pang and Gesualdo Scutari, “Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Nash Equilibria and Distributed Algorithms,” IEEE Trans. on Signal Processing, vol. 61, no. 9, pp. 2366–2382, May 2013.
  • Gesualdo Scutari and Jong-Shi Pang “Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Nash Equilibria and Distributed Algorithms,” IEEE Trans. on Information Theory, vol. 59, no. 7, pp. 4626–4661, July 2013.
  • Italo Atzeni, Luis G. Ordonez, Gesualdo Scutari, Daniel P. Palomar, and Javier R. Fonollosa, “Demand-Side Management via Distributed Energy Generation and Storage Optimization,” IEEE Trans. on Smart Grid, vol. 4, no. 2, pp. 866–876, June 2013. [ISI Web of Knowledge Highly cited paper, 2016-2020]
  • Jong-Shi Pang and Gesualdo Scutari, “Nonconvex Games with Side Constraints,” SIAM Jour. On Optimization, vol. 21, no. 4, pp. 1491–1522, Dec. 2011.
  • Jiaheng Wang, Gesualdo Scutari, and Daniel P. Palomar, “Robust MIMO Cognitive Radio via Game Theory,” in IEEE Trans. on Signal Processing, vol. 59, no. 3, pp. 1182–1201, March 2011. [Top 10 downloaded articles in IEEE TSP (March 2011)].
  • Jong-Shi Pang, Gesualdo Scutari, Daniel P. Palomar, and Francisco Facchinei, “Design of Cognitive Radio Systems Under Temperature-Interference Constraints: A Variational Inequality Approach,” IEEE Trans. on Signal Processing, vol. 58, no. 6, pp. 3251–3271, June 2010.
  • Gesualdo Scutari and Daniel P. Palomar, “MIMO Cognitive Radio: A Game-Theoretical Approach,” IEEE Trans. on Signal Processing, vol. 58, no. 2, pp. 761-780, Feb. 2010. [Top 10 downloaded articles in IEEE TSP (Jan.-March 2010)].
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “The MIMO Iterative Waterfilling Algorithm,” IEEE Trans. on Signal Processing, vol. 57, no. 5, pp. 1917–1935, May 2009. [Top 10 downloaded articles in IEEE TSP (May – July 2009)].
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Competitive Design of Multiuser MIMO Systems based on Game Theory: A Unified View,” IEEE Journal on Selected Areas in Communications: Special Issue on Game Theory, vol. 25, no. 7, pp. 1089–1103, Sept. 2008.
  • Jong-Shi Pang, Gesualdo Scutari, Francisco Facchinei, and Chaoxiong Wang, “Distributed Power Allocation With Rate Constraints in Gaussian Parallel Interference Channels,” IEEE Trans. on Information Theory, vol. 54, no. 8, pp. 3471–3489, Aug. 2008.
  • Gesualdo Scutari and Sergio 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.
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels,” IEEE Trans. on Information Theory, vol. 54, no. 7, pp. 2868–2878, July 2008.
  • Gesualdo Scutari, Sergio Barbarossa, and Loreto 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.
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory – Part I: Nash Equilibria,” IEEE Trans. on Signal Processing, vol. 56, no. 3, pp. 1230–1249, March 2008. [Highly cited paper (ISI Web of Knowledge)].
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory – Part II: Algorithms,” IEEE Trans. on Signal Processing, vol. 56, no. 3, pp. 1250–1267, March 2008.[Highly cited paper (ISI Web of Knowledge)]
  • Osvaldo Simeone, Umberto Spagnolini, Gesualdo Scutari, and Yeheskel Bar-Ness, “Physical-layer Distributed Synchronization in Wireless Networks and Applications,” Physical Communication, pp. 67–83, March 2008.
  • Sergio Barbarossa and Gesualdo 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.
  • Gesualdo Scutari and Sergio Barbarossa, “Distributed Space-time Coding for Regenerative Relay Networks,” IEEE Trans. on Wireless Communications, vol. 4, no. 5, pp. 2387–2399, Sept. 2005.

Other Conference Papers (pre-2020)

  • Jinming Xu, Ying Sun, Ye Tian, and Gesualdo Scutari, "A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization," in Proc. of 20179IEEE workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP19), Dec. 15-18, 2019, Guadeloupe, West Indies. [PDF]
  • Amir Daneshmand, Gesualdo Scutari, and Vyacheslav Kungurtsev "Second Order Guarantees of Gradient Algorithms over Networks," in Proc. of the 56th Annual Allerton Conference on Communication, Control, and Computing, Oct. 3-5, 2018, Monticello, IL, USA.
  • Chan-Shen Lee, Nicolo' Michelusi, and Gesualdo Scutari, "Distributed Quantized Weight-Balancing and Average Consensus over Digraphs," in Proc. of the 57th IEEE Conference on Decision and Control (CDC18), Dec. 17-19, 2018, Fontainebleau, Miami Beach, FL, USA.
  • Ye Tian, Ying Sun, Gesualdo Scutari, and Bin Du, "ASY-SONATA: Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization," in Proc. of the 56th Allerton Conference on Communication, Control, and Computing (Allerton 2018), Oct. 2-5, 2018, Monticello, IL, USA [PDF].
  • Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano, "Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging," in Proc. of the 56th IEEE Conference on Decision and Control (CDC17), Dec. 12-15, 2017, Melbourne, Australia.
  • Loris Cannelli, Francisco Facchinei, and Gesualdo Scutari, “Multi-Agent Asynchronous Nonconvex Large-Scale Optimization” in Proc. of 2017 IEEE workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP17), Dec. 10-13, 2017, Curaçao, Dutch Antilles.
  • Ivano Notarnicola, Ying Sun, Gesualdo Scutari, and Giuseppe Notarstefano, “Distributed Big-Data Optimization via Block Communications” in Proc. of 2017 IEEE workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP17), Dec. 10-13, 2017, Curaçao, Dutch Antilles. Best Paper Award
  • Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, and Gesualdo Scutari, “Essentially Cyclic Asynchronous Nonconvex Large-Scale Optimization,” in Proc. of the 2017 IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2017), July 3-6, 2017, Sapporo, Japan. Best Paper Award Runner-up
  • Ying Sun and Gesualdo Scutari, “Distributed Nonconvex Optimization for Sparse Representation,” in Proc. of the 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP17), March 5-9, 2017; New Orleans, USA.
  • Aryan Mokhtari, Alec Koppel, Gesualdo Scutari, Alejandro Ribeiro, “Large-scale Nonconvex Stochastic Optimization by Doubly Stochastic Successive Convex Approximation,” in Proc. of the 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP17), March 5-9, 2017; New Orleans, USA.
  • Amir Daneshmand, Ying Sun, Gesualdo Scutari, and Francisco Facchinei, “D2L: Decentralized Dictionary Learning over Dynamic Networks,” in Proc. of the 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP17), March 5-9, 2017; New Orleans, USA.
  • Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, and Gesualdo Scutari, “Asynchronous Parallel Nonconvex Large-scale Optimization,” in Proc. of the 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP17), March 5-9, 2017; New Orleans, USA.
  • Ying Sun, Gesualdo Scutari, and Daniel Palomar, "Distributed Nonconvex Multiagent Optimization over Time-varying Networks," in Proc. of the Asilomar Conference on Signals, Systems, and Computers, Nov. 6-9, 2016, the Asilomar Grounds, Pacific Grove, CA, USA. [PDF]
  • Amir Daneshmand, Gesualdo Scutari, and Francisco Facchinei, "Distributed Dictionary Learning," in Proc. of the Asilomar Conference on Signals, Systems, and Computers, Nov. 6-9, 2016, the Asilomar Grounds, Pacific Grove, CA, USA.
  • Loris Cannelli, Gesualdo Scutari, Francisco Facchinei, Vyacheslav Kungurtsev, "Parallel Asynchronous Lock-free Algorithms for Nonconvex Big-Data Optimization”, in Proc. of the Asilomar Conference on Signals, Systems, and Computers, Nov. 6-9, 2016, the Asilomar Grounds, Pacific Grove, CA, USA. Journal version available here. Best Paper Award Runner-up (Track D)
  • Paolo Di Lorenzo and Gesualdo Scutari, “Distributed Nonconvex Optimization over Time-varying Networks,” in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 16), March 20-25, 2016, Shanghai, China.
  • Peiran Song, Gesualdo Scutari, Francisco Facchinei, and Lorenzo Lampariello, “D3M: Distributed Multi-Cell Multigroup Multicasting,” in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 16), March 20-25, 2016, Shanghai, China.
  • Paolo Di Lorenzo and Gesualdo Scutari, “Distributed Nonconvex Optimization over Networks,” in Proc. of IEEE International Conference on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015), Dec. 13-16, 2015, Cancun, Mexico.
  • Loris Cannelli, Paolo Scarponi, Gesualdo Scutari, and Leslie Ying, “A Parallel Algorithm for Compressed Sensing Dynamic MRI Reconstruction,” in Proc. of the 23th Annual Meeting and Exhibition (ISMRM’15), May 30—June 5, 2015, Toronto, Ontario, Canada.
  • Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev, and Gesualdo Scutari, "Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization," in Proc. of the Asilomar Conference on Signals, Systems, and Computers, Nov. 2-5, 2014, the Asilomar Grounds, Pacific Grove, CA, USA [the order of the authors is alphabetic].
  • Stefania Sardellitti, Gesualdo Scutari, and Sergio Barbarossa, "Distributed Joint Optimization of Radio and Computational Resources for Mobile Cloud Computing," in Proc of the 3th IEEE International Conference on Cloud Networking (IEEE CloudNet ’14), October 8-10, 2014, Luxembourg.
  • Morteza Mardani, Leslie Ying, Gesualdo Scutari, Konstantinos Slavakis, and Georgios Giannakis, “Dynamic MRI Using Subspace Tensor Tracking,” in Proc. of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’14), August 26-30, 2014, Chicago, IL, USA.
  • Stefania Sardellitti, Gesualdo Scutari, and Sergio Barbarossa, "Joint Optimization of Radio and Computational Resources for Multicell MIMO Mobile Cloud Computing," (invited paper), in Proc. of the IEEE 2014 Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2014), June 22-25, 2014, Toronto, Canada.
  • Francisco Facchinei, Simone Sagratella, and Gesualdo Scutari, “Flexible Parallel Algorithms for Big Data Optimization,” in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 14), May 4-9, 2014, Florence, Italy.
  • Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello, and Peiran Song, “Parallel and Distributed Methods for Nonconvex Optimization,” in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 14), May 4-9, 2014, Florence, Italy.
  • Stefania Sardellitti, Gesualdo Scutari, and Sergio Barbarossa, “Joint Cell Selection and MIMO Precoding in Heterogeneous Networks via Successive Convex Approximation,” in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 14), May 4-9, 2014, Florence, Italy.
  • Yang Yang, Gesualdo Scutari, and Daniel Palomar, "Parallel Stochastic Decomposition Algorithms for Multi-Agent Systems," in Proc. of the IEEE 2013 Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2013), Darmstadt, Germany, June 16-19, 2013.
  • Gesualdo Scutari, Francisco Facchinei, Peiran Song, Daniel Palomar, and Jong-Shi Pang, "Decomposition by Partial Linearization in Multiuser Systems," in Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 13), May 26-31, 2013, Vancouver, Canada.
  • Italo Atzeni, Luis G. Ordonez, Gesualdo Scutari, Daniel P. Palomar, and Javier R. Fonollosa, "Coperative Day-Ahead Bidding Strategies for Demand-side Expected Cost Minimization," in Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 13), May 26-31, 2013, Vancouver, Canada.
  • Yang Yang, Peiran Song, Gesualdo Scutari, and Daniel Palomar, "Robust MIMO Cognitive Radio Systems Under Temperature Interference Constraints," in Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 13), May 26-31, 2013, Vancouver, Canada.
  • Zhangyu Guan, Tommaso Melodia, and Gesualdo Scutari, "Distributed Queueing Games in Interference-limited Wireless Networks," in Proc. of the IEEE International Conference on Communications - Ad-hoc and Sensor Networking Symposium (ICC'13 AHSN), Budapest, Hungary, June 9-13, 2013.
  • Italo Atzeni, Luis G. Ordonez, Gesualdo Scutari, Daniel P. Palomar, and Javier R. Fonollosa, "Day-Ahead Bidding Strategies for Demand-Side Expected Cost Minimization," in Proc. of the Third IEEE International Conference on Smart Grid Communications, Nov. 5-8, 2012, Tainan City, Taiwan.
  • Gesualdo Scutari, Francisco Facchinei, and Jong-Shi Pang, "Equilibrium Selection in MIMO Communication Games," in Proc. of the IEEE 2012 Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2012), Çeşme, Turkey, June 17-20, 2012.
  • Gesualdo Scutari, Francisco Facchinei, and Jong-Shi Pang, "Equilibrium Selection in Power Control Games on the Interference Channel," in Proc. of the 31st Annual IEEE International Conference on Computer Communications (IEEE INFOCOM 2012), pp. 675-683, March 25-30, 2012, Orlando, FL, USA.
  • Gesualdo Scutari, Daniel P. Palomar, Francisco Facchinei, and Jong-Shi Pang, "Distributed Dynamic Pricing for MIMO Interfering Multiuser Systems: A Unified Approach," in Proc. of the International Conference on NETwork Games, COntrol and OPtimization (NetGCooP 2011), October 12-14, 2011, Paris, France.
  • Gesualdo Scutari and Jong-Shi Pang, "Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Quasi-Nash Equilibria," in Proc. of the 17th International Conference on Digital Signal Processing (DSP2011), Corfu, Greece, July 6-8, 2011.
  • Yang Yang, Gesualdo Scutari. and Daniel Palomar, "Multi-Portfolio Optimization: A Potential Game Approach," in Proc. of the 2nd International ICST Conference on Game Theory for Networks, Shanghai, China, April 16,-18 2011.
  • Jiaheng Wang, Gesualdo Scutari, and Daniel P. Palomar, "Robust Cognitive Radio via Game Theory," in Proc. of the IEEE 2010 International Symposium on Information Theory (ISIT 2010), Austin, Texas, USA, June 13-18, 2010.
  • Jong-Shi Pang, Gesualdo Scutari, Daniel P. Palomar, and Francisco Facchinei, "Design of Cognitive Radio Systems Under Temperature-Interference Constraints: A Variational Inequality Approach," in Proc. of the IEEE 2010 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Dallas, Texas, USA, March 14-19, 2010.
  • Sergio Barbarossa, Stefania Sadellitti, and Gesualdo Scutari, "Joint Optimization of Detection Thresholds and Power Allocation for Opportunistic Access in Multicarrier Cognitive Radio Networks," in Proc. of the Third International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2009), Radisson Aruba Resort, Casino & Spa Aruba, Dutch Antilles, USA, Dec. 13-16, 2009.
  • Sergio Barbarossa, Gesualdo Scutari, and Timothy Battisti, “Cooperative Sensing for Cognitive Radio Using Decentralized Projection Algorithms,” in Proc. of the IEEE 2009 Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2009), Perugia, Italy, June 21-24, 2009.
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Competitive Optimization of Cognitive Radio MIMO Systems via Game Theory,” in Proc. of the International Conference on Game Theory for Networks (GameNets 2009), Boğaziçi University, Istanbul, Turkey, May 13-15 2009.
  • Sergio Barbarossa, Gesualdo Scutari, and Timothy Battisti, “Distributed Signal Subspace Projection Algorithms with Maximum Convergence Rate for Sensor Networks with Topological Constraints,” in Proc. of the IEEE 2009 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), Taipei, Taiwan, April 19-24, 2009.
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “MIMO Cognitive Radio: A Game-Theoretical Approach,” in Proc. of the IEEE 2008 Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2008), Recife, Brazil, July 7-9, 2008.
  • Loreto Pescosolido, Sergio Barbarossa, and Gesualdo Scutari, “Average Consensus Algorithms Robust Against Channel Noise,” in Proc. of the IEEE 2008 Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2008), Recife, Brazil, July 7-9, 2008.
  • Loreto Pescosolido, Sergio Barbarossa, and Gesualdo Scutari, “Radar Sensor Networks with Distributed Detection Capabilities”, in Proc. of the IEEE 2008 Radar Conference, Sheraton Golf Parco dei Medici, Rome, Italy, May 26-30, 2008.
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Competitive Design of Multiuser MIMO Interference Systems Based on Game Theory: A Unified Framework,” in Proc. of the IEEE 2008 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2008), Las Vegas, NV, USA, March 30-April 4, 2008.
  • Antonio Fasano and Gesualdo Scutari, “The Effect of Additive Noise on Consensus Achievement in Wireless Sensor Networks,” in Proc. of the IEEE 2008 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2008), Las Vegas, NV, USA, March 30-April 4, 2008.
  • Sergio Barbarossa, Timothy Battisti, Loreto Pescosolido, Stefania Sardellitti, and Gesualdo Scutari, “Distributed Spatial Smoothing Algorithms for Wireless Sensor Networks Having Fast Convergence and Robustness Against Coupling Noise,” in Proc. of the Spread Spectrum Techniques and Applications (ISSSTA 2008), Bologna, Italy, Aug. 25-28, 2008, (the authors’ list is in alphabetical order).
  • Gesualdo Scutari and Sergio Barbarossa, “Optimal Distributed Decision over Wireless Sensor Networks Affected by Multipath Fading,” in Proc. of the 2nd International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2007), St. Thomas, Virgin Islands, USA, Dec. 12-14, 2007.
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Optimal Decentralized Linear Precoding for Wideband Non-Cooperative Interference Systems Based on Game Theory,” in Proc. of the 2nd International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2007), St. Thomas, Virgin Islands, USA, Dec. 12-14, 2007.
  • Osvaldo Simeone and Gesualdo Scutari, “Pulse-coupled distributed PLLs in Heterogeneous Wireless Networks,” in Proc. of the 41st Asilomar Conference on Signals, Systems & Computers, Pacific Grove, CA, USA, Nov. 4-7, 2007.
  • Gesualdo Scutari, Sergio Barbarossa, Loreto Pescosolido, “Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Asymmetric Channels,” in Proc. of the IEEE 2007 Workshop on Signal Proc. Advances in Wireless Commun. (SPAWC 2007), Helsinki, Finland, June 17-20, 2007.
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Distributed Totally Asynchronous Iterative Waterfilling for Wideband Interference Channel with Time/Frequency Offset,” in Proc. of the IEEE 2007 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2007), Honolulu, Hawaii, USA, April 15-20, 2007.
  • Sergio Barbarossa, Gesualdo Scutari, and Ananthram Swami, “Achieving Consensus in Self-Organizing Wireless Sensor Networks: The Impact of Network Topology on Energy Consumption,” in Proc. of the IEEE 2007 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2007), Honolulu, Hawaii, USA, April 15-20, 2007.
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Asynchronous Iterative Waterfilling for Gaussian Frequency-Selective Interference Channels: A Unified Framework,” in Proc. of the 2007 Information Theory and Applications (ITA 2007) Workshop, San Diego, CA, USA, Jan. 29 - Feb. 2, 2007.
  • Sergio Barbarossa, Gesualdo Scutari, and Ananthram Swami, “Distributed Detection and Estimation in Decentralized Sensor Networks: An Overview,” in Proc. of the XVI European Signal Processing Conference(EUSIPCO 2007), Florence, Italy, Sept. 3-6, 2006.
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Simultaneous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels,” in Proc. of the IEEE 2006 International Symposium on Information Theory (ISIT 2006), Seattle, WA, USA, July 9-14, 2006.
  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels: A Unified Framework,” in Proc. of the IEEE 2006 Workshop on Signal Proc. Advances in Wireless Commun. (SPAWC 2006), Cannes, France, July 2-5, 2006.
  • Gesualdo Scutari, Sergio Barbarossa, and Loreto Pescosolido, “Optimal Decentralized Estimation Through Self-synchronizing Networks in the Presence of Propagation Delays,” in Proc. of the IEEE 2006 Workshop on Signal Proc. Advances in Wireless Commun. (SPAWC 2006), Cannes, France, July 2-5, 2006.
  • Gesualdo Scutari, Sergio Barbarossa, and Daniel P. Palomar, “Potential Games: A Framework for Vector Power Control Problems with Coupled Constraints,” in Proc. of the IEEE 2006 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006), Toulouse, France, May 14-19, 2006. Best Paper Award
  • Sergio Barbarossa, Gesualdo Scutari, and Loreto Pescosolido, “Global stability of a Population of Mutually Coupled Oscillators Reaching Global Maximum Likelihood Estimate Through a Decentralized Approach,” in Proc. of the IEEE 2006 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006), Toulouse, France, May 14-19, 2006.
  • Loreto Pescosolido, Sergio Barbarossa, and Gesualdo Scutari, “Decentralized Detection and Localization Through Sensor Networks Designed as a Population of Self-Synchronizing Oscillators,” in Proc. of the IEEE 2006 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006), Toulouse, France, May 14-19, 2006.
  • Sergio Barbarossa, Loreto Pescosolido, Daniele Ludovici, and Gesualdo Scutari, “Cooperative Wireless Networks based on Distributed Space-time Coding,” in Proc. of the 2004 International Workshop on Wireless Ad-Hoc Networks (IWWAN 2004), Oulu, Finland, May 31- June 3, 2004.  
  • Gesualdo Scutari, Sergio Barbarossa, and Daniele Ludovici, “On the Maximum Achievable Rates in Wireless Meshed Networks: Centralized versus Decentralized Solutions,” in Proc. of the IEEE 2004 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2004), Montreal, Quebec, Canada, May 17-21, 2004.
  • Sergio Barbarossa and Gesualdo Scutari, “Distributed Space-Time Coding Strategies for Wideband Multihop Networks: Regenerative vs. non-Regenerative Relays,” in Proc. of the IEEE 2004 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2004), Montreal, Quebec, Canada, May 17-21, 2004.
  • Sergio Barbarossa and Gesualdo Scutari, “Distributed Space-Time Coding for Multihop Networks,” in Proc. of the IEEE 2003 International Conference on Communications (ICC 2003), Paris, France, June 20-24, 2004.
  • Gesualdo Scutari, Sergio Barbarossa, and Daniele Ludovici, “Cooperation Diversity in Multihop Wireless Networks Using Opportunistic Driven Multiple Access,” in Proc. of the IEEE 2003 Workshop on Signal Proc. Advances in Wireless Commun. (SPAWC 2003), Rome, Italy, July 15-18, 2003.
  • Sergio Barbarossa and Gesualdo Scutari, “Optimal Rate Allocation for Multiple Access Wideband Systems with Rate Profile Constraint and Adaptive Power Control,” in Proc. of the IEEE 2003 Workshop on Signal Proc. Advances in Wireless Commun. (SPAWC 2003), Rome, Italy, July 15-18, 2003.
  • Sergio Barbarossa and Gesualdo Scutari, “Cooperative Diversity Through Virtual Arrays in Multihop Networks,” in Proc. of the IEEE 2003 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Hong Kong, China, April 6-10, 2003.
  • Gesualdo Scutari, Sergio Barbarossa, and Giancarlo Paccapeli, “Concatenated Space-Time Block Coding with Optimal Trade-off between Maximum Diversity and Coding Gains,” in Proc. of the IEEE 2003 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Hong Kong, Cina, April 6-10, 2003.
  • Gesualdo Scutari and Sergio Barbarossa, “Generalized Water-Filling for Multiple Transmit Antenna Systems,” in Proc. of the IEEE 2003 International Conference on Communications (ICC 2003), Anchorage, Alaska, USA, , May 11-15, 2003.
  • Sergio Barbarossa, Gesualdo Scutari, and Giancarlo Paccapeli, “Concatenated Space-Time Block Coding with Maximum Diversity Gain,” in Proc. of the IEEE 2003 International Conference on Communications (ICC 2003), Anchorage, Alaska, USA, May 11-15, 2003.
  • Sergio Barbarossa and Gesualdo Scutari, “On the Maximum Common Rate in Multiple Access Channels,” in Proc.of the XI European Signal Processing Conference (EUSIPCO 2002), Toulouse, France, Sept. 3-6, 2002.
  • Sergio Barbarossa, Gesualdo Scutari, and Ananthram Swami, “MUI-FREE CDMA Systems Incorporating Space- Time Coding and Channel Shortening,” in Proc. of the IEEE 2002 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2002), Orlando, Florida, USA, May 13-17, 2002.
  • Sergio Barbarossa, Gesualdo Scutari, and Daniela Scamolla, “Efficient Space-Time Coding for Wideband CDMA Systems Using Variable-Length Cyclic Prefix,” in Proc. of the 2002 EUROPEAN WIRELESS Conference, Florence, Italy, Feb. 25-28, 2002.