R. Olfati-saber, A. Fax, and R. Murray, Consensus and Cooperation in Networked Multi-Agent Systems, Proc. of the IEEE, pp.215-233, 2007.
DOI : 10.1109/JPROC.2006.887293

N. D. Sidiropoulos, G. B. Giannakis, and R. Bro, Blind PARAFAC receivers for DS-CDMA systems, IEEE Transactions on Signal Processing, vol.48, issue.3, pp.810-823, 2000.
DOI : 10.1109/78.824675

A. L. De-almeida, G. Favier, and J. C. Mota, PARAFAC-based unified tensor modeling for wireless communication systems with application to blind multiuser equalization, Signal Processing, vol.87, issue.2, pp.337-351, 2007.
DOI : 10.1016/j.sigpro.2005.12.014
URL : https://hal.archives-ouvertes.fr/hal-00417636

D. Nion and L. De-lathauwer, An enhanced line search scheme for complex-valued tensor decompositions. Application in DS-CDMA, Signal Processing, vol.88, issue.3, pp.749-755, 2008.
DOI : 10.1016/j.sigpro.2007.07.024

A. Y. Kibangou and G. Favier, Blind equalization of nonlinear channels using a tensor decomposition with code/space/time diversities, Signal Processing, vol.89, issue.2, pp.133-143, 2009.
DOI : 10.1016/j.sigpro.2008.07.016
URL : https://hal.archives-ouvertes.fr/hal-00417609

R. A. Harshman, Foundation of the PARAFAC procedure: models and conditions for an " explanatory " multimodal factor analysis, UCLA work. papers phon, vol.16, pp.1-84, 1970.

L. Xiao, S. Boyd, and S. Kim, Distributed average consensus with least-mean-square deviation, Journal of Parallel and Distributed Computing, vol.67, issue.1, pp.33-46, 2007.
DOI : 10.1016/j.jpdc.2006.08.010

J. D. Caroll and J. J. Chang, Analysis of individual differences in multidimensional scaling via an n-way generalization of ???Eckart-Young??? decomposition, Psychometrika, vol.12, issue.3, pp.283-319, 1970.
DOI : 10.1007/BF02310791

G. Tomasi and R. Bro, A comparison of algorithms for fitting the PARAFAC model, Computational Statistics & Data Analysis, vol.50, issue.7, pp.1700-1734, 2006.
DOI : 10.1016/j.csda.2004.11.013

G. Mateos, I. D. Schizas, and G. B. Giannakis, Consensusbased distributed least-mean square algorithm using wireless ad hoc networks, Proc. Allerton Conf, pp.568-574, 2007.

S. Bolognani, S. Del-favero, L. Schenato, and D. Varagnolo, 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

V. D. Blondel, J. M. Hendrickx, A. Olshevsky, and J. N. Tsitsiklis, Convergence in Multiagent Coordination, Consensus, and Flocking, Proceedings of the 44th IEEE Conference on Decision and Control, pp.2996-3000, 2005.
DOI : 10.1109/CDC.2005.1582620