S. Bolognani, D. Favero, S. Schenato, L. Varagnolo, and D. , Distributed sensor calibration and least-square parameter identification in WSNs using consensus algorithms, 2008 46th Annual Allerton Conference on Communication, Control, and Computing, pp.1191-1198, 2008.
DOI : 10.1109/ALLERTON.2008.4797695

A. E. Brouwer, A. M. Cohen, and A. Neumaier, Distance-Regular Graphs, 1989.

B. Buchberger, Some properties of Groebner-bases for polynomial ideals, ACM SIGSAM Bulletin, vol.10, pp.19-24, 1976.

E. K. Chong and S. H. Zak, An Introduction to Optimization, 2012.

J. Cortes, Finite-time convergent gradient flows with applications to network consensus, Automatica, vol.42, issue.11, 1993.
DOI : 10.1016/j.automatica.2006.06.015

A. Esna-ashari, A. Kibangou, and F. Garin, Distributed input and state estimation for linear discrete-time systems, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012.
DOI : 10.1109/CDC.2012.6426366
URL : https://hal.archives-ouvertes.fr/hal-00725518

M. Franceschelli, A. Gasparri, A. Giua, and C. Seatzu, Decentralized Laplacian eigenvalues estimation for networked multi-agent systems, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, pp.2717-2722, 2009.
DOI : 10.1109/CDC.2009.5400723

L. Georgopoulos, Definitive consensus for distributed data inference, 2011.

C. Godsil and G. Royle, Algebraic graph theory, 2001.
DOI : 10.1007/978-1-4613-0163-9

J. Hendrickx, R. Jungers, A. Olshevsky, and G. Vankeerberghen, Diameter, optimal-time consensus, and graph eigenvalues, 2012.

A. Kibangou, Finite-time average consensus based protocol for distributed estimation over AWGN channels, IEEE Conference on Decision and Control and European Control Conference, pp.261-265, 2011.
DOI : 10.1109/CDC.2011.6160868
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.651.6597

A. Kibangou, Graph Laplacian based matrix design for finite-time distributed average consensus, 2012 American Control Conference (ACC), pp.261-265, 2012.
DOI : 10.1109/ACC.2012.6315398
URL : https://hal.archives-ouvertes.fr/hal-00680344

C. K. Ko, On matrix factorization and scheduling for finite-time average consensus, 2010.
DOI : 10.1109/cdc.2009.5399577

E. Kokiopoulou and P. Frossard, Polynomial Filtering for Fast Convergence in Distributed Consensus, IEEE Transactions on Signal Processing, vol.57, issue.1, pp.342-354, 2009.
DOI : 10.1109/TSP.2008.2006147

O. L. Mangasarian and M. V. Solodov, Serial and parallel backpropagation convergence via nonmonotone perturbed minimization Optimzation Methods and Software, pp.103-116, 1994.
DOI : 10.1080/10556789408805581
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.4630

R. Olfati-saber, Distributed Kalman filtering for sensor networks, 2007 46th IEEE Conference on Decision and Control, pp.5492-5498, 2007.
DOI : 10.1109/CDC.2007.4434303

R. Olfati-saber and R. Murray, Consensus Problems in Networks of Agents With Switching Topology and Time-Delays, IEEE Transactions on Automatic Control, vol.49, issue.9, pp.1520-1533, 2004.
DOI : 10.1109/TAC.2004.834113

T. Sahai, A. Speranzon, and A. Banaszuk, Hearing the clusters of a graph: A distributed algorithm, Automatica, vol.48, issue.1, pp.15-24, 2012.
DOI : 10.1016/j.automatica.2011.09.019

S. Yang, J. C. Lu, and J. , A new protocol for finitetime consensus of detail-balanced multi-agent networks, CHAOS, p.22, 2012.

S. Sundaram and C. Hadjicostis, Finite-Time Distributed Consensus in Graphs with Time-Invariant Topologies, 2007 American Control Conference, 2007.
DOI : 10.1109/ACC.2007.4282726

T. M. Tran and A. Kibangou, Consensus-based distributed estimation of laplacian eigenvalues of undirected graphs, Proc. of the European Control Conference, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00842568

L. Wang and F. Xiao, Finite-Time Consensus Problems for Networks of Dynamic Agents, IEEE Transactions on Automatic Control, vol.55, issue.4, pp.950-955, 2010.
DOI : 10.1109/TAC.2010.2041610

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
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.7284

Y. Yuan, G. Stan, L. Shi, M. Barahona, and J. Goncalves, Decentralised minimum-time consensus, Automatica, vol.49, issue.5, pp.1227-1235, 2013.
DOI : 10.1016/j.automatica.2013.02.015