Assistant Professor -- Maître de Conférences
Laboratoire Jean Kuntzmann (LJK) , Université Grenoble Alpes, DAO Team

Full CV : [EN]/[FR] -- Google Scholar Profile

Contact : firstname.lastname |a|_ univ-grenoble-alpes.fr

/iutzeler       Franck Iutzeler       0000-0003-2537-380X       @FranckIutzeler


News

  • Mar. 2019 : Alexander Rogozin (Student at MIPT Moscow with A. Gasnikov) visited our team for two weeks to work on distributed structure optimization. [Photo]
  • Jan. 2019 : Mathias Chastan began his PhD between ST MicroElectronics and our team. He is co-supervised by A. Lam, J. Malick and I and will work on machine learning for industrial defects detection.
  • Nov. 2018 : I gave a talk about the Python library Pandas at the Python group of the Univ. Grenoble Alpes. The notebook of the presentation is on [GitHub] and here is a possible solution of the exercises [Notebook].
  • Jul. 2018 : I presented our work A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning at ICML in Stockholm: [Slides] [Poster]. We recently posted a paper on ArXiv that pushes these ideas further in terms of mathematical optimization [ArXiv]
  • Juin 2018 : With colleages from the DAO team, we organize the Grenoble Optimization Days. This event also celebrates the axe Grenoble-Moscow, and is co-organized with Alexander Gasnikov (MIPT, Moscou). Partial funding by my CNRS I3A project.
  • Feb. 2018 : Mini-course by Julien Mairal on Optimization and Learning, funded by the GdR MOA, in prelude to the SMAI-MODE conference. Details here.
  • Oct. 2017 : Dmitry Grishchenko began his PhD thesis in our team. He is co-supervised by J. Malick, M.-R. Amini, and I and will work on distributed optimization algorithms.
  • Sept. 2017 : Bikash Joshi defended his PhD thesis on some large-scale learning methods. He was co-supervised by M.-R. Amini and I and is now a data scientist in the private sector.
  • June 2017 : The conference CAp 2017 (Conférence sur l'apprentissage automatique -- 19th annual meeting of the francophone Machine Learning community) held in Grenoble June 28-30 was a great success. It was co-organized by the AMA team at LIG and our team DAO at LJK, the general chair was M.-R. Amini.
  • Mar. 2017 : Our course project on Distributed Optimization for Big Data was granted a development funding from IDEX Grenoble Alpes. The Goal is to raise our Convex and Distributed Optimization to the next level with state of the art technologies (Python/Jupyter, Spark, Docker) and to a wider audience.
  • Nov. 2016 : I gave a tutorial talk about Gossip algorithms at the Machine Learning seminar SMILE in Paris. Slides: Part I -- Gossip algorithms , Part II -- Gossip and Optimization. (The animations may not work with all PDF viewers, they should do fine with Adobe's)

Talks

  • Oct. 2018 : Distributed Learning with Sparse Communications and Structure Identification, Séminaire INRIA Magnet, Lille (France).
  • Jul. 2018 : Distributed Learning with Sparse Communications and Structure Identification, International Symposium on Mathematical Programming (ISMP), Bordeaux (France).
  • June 2018 : Distributed Learning with Sparse Communications and Structure Identification, Séminaire Polaris, Grenoble (France).
  • June 2018 : Distributed Learning with Sparse Communications and Structure Identification, Séminaire D.A.T.A., Grenoble (France).
  • May. 2018 : Distributed Learning with Sparse Communications and Structure Identification, Journées de Statistique, Saclay (France).
  • Apr. 2017 : Monotonicity, Acceleration, Inertia, and the proximal gradient algorithm , Optimization and Statistical Learning, Les Houches (France). [Slides]
  • Nov. 2016 : Gossip Algorithms: Tutorial and Recent advances , SMILE in Paris, Paris (France).
  • Oct. 2016 : Modified fixed points iterations and applications to randomized and accelerated optimization algorithms , Workshop Cavalieri, Paris (France).
  • Sep. 2016 : Practical acceleration for some optimization methods using relaxation and inertia , Seminaire d'Analyse non lineaire et Optimisation, Avignon (France).
  • June 2016 : Practical acceleration for some optimization methods using relaxation and inertia , Seminaire Signal-Image de l'Insitut de Mathematiques de Bordeaux, Bordeaux (France).
  • June 2016 : Practical accelerations for the alternating direction method of multipliers , PICOF Workshop , Autrans (France).
  • May 2016 : Descente par coordonnéees stochastique dan l'algorithme du point fixe et application aux méthod d'optimisation , Congres d'Analyse Numerique (CANUM) , Obernai (France).
  • Nov. 2015 : Relaxation and Inertia on the Proximal Point Algorithm , Titan Workshop , Grenoble (France).
  • Nov. 2015 : Relaxation and Inertia on Fixed point algorithms , Journées EDP Rhone-Alpes-Auvergne (JERAA), Clermont-Ferrand (France).
  • Mar. 2015 : Online Relaxation Method for Improving Linear Convergence Rates of the ADMM , Benelux meeting on Systems and Control, Lommel (Belgium).
  • Aug. 2014 : Asynchronous Distributed Optimization , Journées MAS, Toulouse (France).
  • May. 2014 : Distributed Optimization Techniques for Learning over Big Data , 2014 ESSEC/Centrale-Supélec Conference Bridging Worlds in Big Data, ESSEC CNIT Campus, La Défense Paris (France).
  • Apr. 2014 : Distributed Asynchronous optimization using the ADMM, Large graphs and networks seminar, Université Catholique de Louvain-la-Neuve , ICTEAM institute, Louvain-La-Neuve (Belgium). [ slides ]
  • Jul. 2013 : Distributed Optimization using a Randomized Alternating Direction Method of Multipliers , Digicosme Research Day, Digiteo, Gif-sur-Yvette.
  • Nov. 2012 : Distributed Estimation of the Average Value in Wireless Sensor Networks , Alcatel-Lucent Chair Seminar, Supélec, Gif-sur-Yvette.
  • Apr. 2012 : Some useful results on Matrix Products for Signal Processing , Ph.D. Candidates Seminar, Telecom ParisTech, Paris.
  • Oct. 2011 : Distributed Maximal Value Estimation , Ph.D. Candidates Seminar, Telecom ParisTech, Paris.