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Franck Iutzeler
Franck Iutzeler
Institut de Mathématiques de Toulouse, Université Toulouse III - Paul Sabatier
Verified email at math.univ-toulouse.fr - Homepage
Title
Cited by
Cited by
Year
Asynchronous distributed optimization using a randomized alternating direction method of multipliers
F Iutzeler, P Bianchi, P Ciblat, W Hachem
52nd IEEE conference on decision and control, 3671-3676, 2013
2282013
On the convergence of single-call stochastic extra-gradient methods
YG Hsieh, F Iutzeler, J Malick, P Mertikopoulos
Advances in Neural Information Processing Systems, 2019
1942019
A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization
P Bianchi, W Hachem, F Iutzeler
IEEE Transactions on Automatic Control 61 (10), 2947-2957, 2016
1522016
Explicit convergence rate of a distributed alternating direction method of multipliers
F Iutzeler, P Bianchi, P Ciblat, W Hachem
IEEE Transactions on Automatic Control 61 (4), 892 - 904, 2013
1492013
Analysis of max-consensus algorithms in wireless channels
F Iutzeler, P Ciblat, J Jakubowicz
IEEE Transactions on Signal Processing 60 (11), 6103 - 6107, 2012
1352012
A generic online acceleration scheme for optimization algorithms via relaxation and inertia
F Iutzeler, JM Hendrickx
Optimization Methods and Software 34 (2), 383-405, 2019
922019
Explore aggressively, update conservatively: Stochastic extragradient methods with variable stepsize scaling
YG Hsieh, F Iutzeler, J Malick, P Mertikopoulos
Advances in Neural Information Processing Systems 33, 2020
882020
Analysis of Sum-Weight-like algorithms for averaging in Wireless Sensor Networks
F Iutzeler, P Ciblat, W Hachem
IEEE Transactions on Signal Processing 61 (11), 2802-2814, 2013
622013
A stochastic coordinate descent primal-dual algorithm and applications
P Bianchi, W Hachem, F Iutzeler
Machine Learning for Signal Processing (MLSP), 2014 IEEE International …, 2014
602014
A delay-tolerant proximal-gradient algorithm for distributed learning
K Mishchenko, F Iutzeler, J Malick, MR Amini
International conference on machine learning, 3587-3595, 2018
492018
On the proximal gradient algorithm with alternated inertia
F Iutzeler, J Malick
Journal of Optimization Theory and Applications 176 (3), 688-710, 2018
442018
Multi-agent online optimization with delays: Asynchronicity, adaptivity, and optimism
YG Hsieh, F Iutzeler, J Malick, P Mertikopoulos
Journal of Machine Learning Research 23 (78), 1--49, 2022
372022
The last-iterate convergence rate of optimistic mirror descent in stochastic variational inequalities
W Azizian, F Iutzeler, J Malick, P Mertikopoulos
Conference on Learning Theory, 326-358, 2021
302021
A distributed flexible delay-tolerant proximal gradient algorithm
K Mishchenko, F Iutzeler, J Malick
SIAM Journal on Optimization 30 (1), 933-959, 2020
302020
Distributed learning with sparse communications by identification
D Grishchenko, F Iutzeler, J Malick, MR Amini
SIAM Journal on Mathematics of Data Science 3 (2), 715-735, 2021
28*2021
Randomized progressive hedging methods for multi-stage stochastic programming
G Bareilles, Y Laguel, D Grishchenko, F Iutzeler, J Malick
Annals of Operations Research 295 (2), 535-560, 2020
242020
Nonsmoothness in machine learning: specific structure, proximal identification, and applications
F Iutzeler, J Malick
Set-Valued and Variational Analysis 28 (4), 661-678, 2020
232020
New broadcast based distributed averaging algorithm over wireless sensor networks
F Iutzeler, P Ciblat, W Hachem, J Jakubowicz
International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2012
232012
Optimization in open networks via dual averaging
YG Hsieh, F Iutzeler, J Malick, P Mertikopoulos
60th IEEE Conference on Decision and Control, 2021
192021
Newton acceleration on manifolds identified by proximal gradient methods
G Bareilles, F Iutzeler, J Malick
Mathematical Programming 200 (1), 37-70, 2023
182023
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