E. Wei, A. Ozdaglar, and A. Jadbabaie, A Distributed Newton Method for Network Utility Maximization???I: Algorithm, IEEE Transactions on Automatic Control, vol.58, issue.9, pp.2162-2175, 2013.
DOI : 10.1109/TAC.2013.2253218

E. Ghadimi, M. Johansson, and I. Shames, Accelerated gradient methods for networked optimization, Proceedings of the 2011 American Control Conference, pp.1668-1673, 2011.
DOI : 10.1109/ACC.2011.5990992

F. P. Kelly, A. K. Maulloo, and D. K. Tan, Rate control for communication networks: shadow prices, proportional fairness and stability, Journal of the Operational Research Society, vol.49, issue.3, pp.237-252, 1998.
DOI : 10.1057/palgrave.jors.2600523

A. Nedi?, A. Olshevsky, A. Ozdaglar, and J. N. Tsitsiklis, On distributed averaging algorithms and quantization effects, IEEE Trans. Autom. Control, vol.54, 2009.

A. Nedi?, A. E. Ozdaglar, and P. A. Parrilo, Constrained Consensus and Optimization in Multi-Agent Networks, IEEE Transactions on Automatic Control, vol.55, issue.4, pp.922-938, 2010.
DOI : 10.1109/TAC.2010.2041686

A. Nedi?, A. Olshevsky, A. E. Ozdaglar, and J. N. Tsitsiklis, On Distributed Averaging Algorithms and Quantization Effects, IEEE Transactions on Automatic Control, vol.54, issue.11, pp.2506-2517, 2009.
DOI : 10.1109/TAC.2009.2031203

S. S. Ram, A. Nedi?, and V. V. Veeravalli, Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization, J. Optimization Theory and Applications, vol.147, issue.3, pp.516-545, 2010.

A. Nedi? and A. Ozdaglar, Distributed Subgradient Methods for Multi-Agent Optimization, IEEE Transactions on Automatic Control, vol.54, issue.1, pp.48-61, 2008.
DOI : 10.1109/TAC.2008.2009515

I. Lobel and A. E. Ozdaglar, Distributed Subgradient Methods for Convex Optimization Over Random Networks, IEEE Transactions on Automatic Control, vol.56, issue.6, pp.1291-1306, 2011.
DOI : 10.1109/TAC.2010.2091295

R. Masiero and G. Neglia, Distributed Sub-gradient Method for Delay Tolerant Networks, 30th IEEE International Conference on Computer Communications, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00506485

S. Alouf, G. Neglia, I. Carreras, D. Miorandi, and A. Fialho, Fitting genetic algorithms to distributed on-line evolution of network protocols, Computer Networks, vol.54, issue.18, pp.3402-3420, 2010.
DOI : 10.1016/j.comnet.2010.06.015

URL : https://hal.archives-ouvertes.fr/hal-00640798

B. Kauffmann, F. Baccelli, A. Chaintreau, V. Mhatre, K. Papagiannaki et al., Measurement-Based Self Organization of Interfering 802.11 Wireless Access Networks, IEEE INFOCOM 2007, 26th IEEE International Conference on Computer Communications, pp.1451-1459, 2007.
DOI : 10.1109/INFCOM.2007.171

D. Rabideau, Fast, rank adaptive subspace tracking and applications, IEEE Transactions on Signal Processing, vol.44, issue.9, pp.2229-2244, 1996.
DOI : 10.1109/78.536680

W. Ren and R. W. Beard, Distributed Consensus in Multi-vehicle Cooperative Control: Theory and Applications, 2007.
DOI : 10.1007/978-1-84800-015-5

S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah, Randomized gossip algorithms, IEEE Transactions on Information Theory, vol.52, issue.6, pp.2508-2530, 2006.
DOI : 10.1109/TIT.2006.874516

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.133.8625

R. Olfati-saber, J. A. Fax, and R. M. Murray, Consensus and Cooperation in Networked Multi-Agent Systems, Proc. of the IEEE, 2007.
DOI : 10.1109/JPROC.2006.887293

W. Ren, R. Beard, and E. Atkins, A survey of consensus problems in multi-agent coordination, Proceedings of the American Control Conference (ACC 2005), pp.1859-1864, 2005.

L. Xiao and S. Boyd, Fast linear iterations for distributed averaging, Systems & Control Letters, vol.53, issue.1, pp.65-78, 2004.
DOI : 10.1016/j.sysconle.2004.02.022

C. D. Meyer and E. , Matrix analysis and applied linear algebra, 2000.
DOI : 10.1137/1.9780898719512

M. K. Fan and B. Nekooie, On minimizing the largest eigenvalue of a symmetric matrix, Linear Algebra and its Applications, vol.214, pp.225-246, 1995.
DOI : 10.1016/0024-3795(93)00068-B

M. Grant and S. Boyd, CVX: Matlab Software for Disciplined Convex Programming, version 1.21, 2011.

Y. Kim, D. Gu, and I. Postlethwaite, Spectral radius minimization for optimal average consensus and output feedback stabilization, Automatica, vol.45, issue.6, pp.1379-1386, 2009.
DOI : 10.1016/j.automatica.2009.02.001

L. Xiao, S. Boyd, and S. Jean-kim, Distributed average consensus with least-mean-square deviation, Journal of Parallel and Distributed Computing, vol.67, issue.1, pp.33-46, 2005.
DOI : 10.1016/j.jpdc.2006.08.010

S. Boyd and L. Vandenberghe, Convex Optimization, 2004.

D. Bernstein, Matrix mathematics: theory, facts, and formulas, 2005.
DOI : 10.1515/9781400833344

A. Nedi? and A. Ozdaglar, Distributed Subgradient Methods for Multi-Agent Optimization, IEEE Transactions on Automatic Control, vol.54, issue.1, pp.48-61, 2009.
DOI : 10.1109/TAC.2008.2009515

B. Johansson, T. Keviczky, M. Johansson, and K. Johansson, Subgradient methods and consensus algorithms for solving convex optimization problems, 2008 47th IEEE Conference on Decision and Control, pp.4185-4190, 2008.
DOI : 10.1109/CDC.2008.4739339

B. Polyak, Introduction to Optimization, 1987.

D. P. Bertsekas, A. Nedi?, and A. E. Ozdaglar, Convex Analysis and Optimization, Athena Scientific, 2003.

D. B. West, Introduction to Graph Theory, 2000.

J. Shetty and J. Adibi, The Enron email dataset database schema and brief statistical report, 2004.

D. Lusseau, K. Schneider, O. J. Boisseau, P. Haase, E. Slooten et al., The bottlenose dolphin community of Doubtful Sound features a large proportion of long-lasting associations, Behavioral Ecology and Sociobiology, vol.54, issue.4, pp.396-405, 2003.
DOI : 10.1007/s00265-003-0651-y

E. Seneta, Non-negative Matrices and Markov Chains, ser, 2006.
DOI : 10.1007/0-387-32792-4

]. D. Acemoglu, G. Como, F. Fagnani, and A. Ozdaglar, Opinion fluctuations and persistent disagreement in social networks, IEEE Conference on Decision and Control and European Control Conference, pp.2347-2352, 2011.
DOI : 10.1109/CDC.2011.6161319

W. Ben-ameur, P. Bianchi, and J. Jakubowicz, Robust Average Consensus using Total Variation Gossip Algorithm, Proceedings of the 6th International Conference on Performance Evaluation Methodologies and Tools, 2012.
DOI : 10.4108/valuetools.2012.250316

URL : https://hal.archives-ouvertes.fr/hal-00755020