Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics, IEEE Signal Processing Magazine, vol.31, issue.5, pp.32-43, 2014. ,
DOI : 10.1109/MSP.2014.2329397
Decoding by Linear Programming, IEEE Transactions on Information Theory, vol.51, issue.12, pp.4203-4215, 2005. ,
DOI : 10.1109/TIT.2005.858979
URL : http://arxiv.org/abs/math/0502327
Sparse online learning via truncated gradient, 2009. ,
Signal Recovery by Proximal Forward-Backward Splitting, Multiscale Modeling & Simulation, vol.4, issue.4, pp.1168-1200, 2005. ,
DOI : 10.1137/050626090
URL : https://hal.archives-ouvertes.fr/hal-00017649
A stochastic gradient method with an exponential convergence rate for finite training sets, NIPS, pp.2663-2671, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00674995
Convergence of Stochastic Proximal Gradient Algorithm ArXiv e-prints, 2014. ,
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems, SIAM Journal on Imaging Sciences, vol.2, issue.1, pp.183-202, 2009. ,
DOI : 10.1137/080716542
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.231.3271
A new class of distributed optimization algorithms : application to regression of distributed data, pp.37-41, 2012. ,
A Proximal Gradient Algorithm for Decentralized Composite Optimization, IEEE Transactions on Signal Processing, vol.63, issue.22, pp.1-11, 2015. ,
DOI : 10.1109/TSP.2015.2461520
Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems, IEEE Transactions on Signal Processing, vol.62, issue.3, pp.641-656, 2014. ,
DOI : 10.1109/TSP.2013.2293126
Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method, IEEE Transactions on Automatic Control, vol.59, issue.6, pp.1524-1538, 2014. ,
DOI : 10.1109/TAC.2014.2308612
URL : http://arxiv.org/abs/1304.5590
An algorithm for quadratic programming, Naval Research Logistics Quarterly, vol.3, issue.1-2, 1956. ,
DOI : 10.1002/nav.3800030109
Fast stochastic frank-wolfe algorithms for non-linear svms, SDM -SIAM International Confernce on Data Mining, 2010. ,
Learning with Submodular Functions: A Convex Optimization Perspective, Machine Learning, pp.145-373, 2013. ,
DOI : 10.1561/2200000039
URL : https://hal.archives-ouvertes.fr/hal-00645271
A modified Frank-Wolfe algorithm for solving the traffic assignment problem, Transportation Research Part B: Methodological, vol.18, issue.2, pp.169-177, 1984. ,
DOI : 10.1016/0191-2615(84)90029-8
Lifted coordinate descent for learning with trace-norm regularization, AISTATS, 2012. ,
Revisiting frank-wolfe: Projection-free sparse convex optimization, ICML, pp.427-435, 2013. ,
New analysis and results for the frankwolfe method ArXiv e-prints, 2013. ,
A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning, pp.1-19, 2014. ,
DOI : 10.1137/1.9781611974010.54
URL : https://hal.archives-ouvertes.fr/hal-01430851
Communication-efficient distributed dual coordinate ascent, NIPS, 2014. ,
A tutorial on decomposition methods for network utility maximization, IEEE Journal on Selected Areas in Communications, vol.24, issue.8, pp.1439-1451, 2006. ,
DOI : 10.1109/JSAC.2006.879350
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.125.5361
Convergence analysis of a stochastic projection-free algorithm ArXiv e-prints, P. Massart, Concentration Inequalities and Model Selection, 2003. ,
Gossip Algorithms for Distributed Signal Processing, Proc. IEEE, pp.1847-1864, 2010. ,
DOI : 10.1109/JPROC.2010.2052531
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
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
Topics in matrix analysis, 1994. ,
DOI : 10.1017/CBO9780511840371