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[REPLAY] Workshop FL-Day - Decentralized Federated Learning: Approaches and Challenges

[REPLAY] Workshop FL-Day - Decentralized Federated Learning: Approaches and Challenges

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Return on the FL-Day Workshop organized on January 10th at LISN.
Corps de texte

Organized by the ADAM team of the DAVID laboratory - with the participation of the Graduate School of Computer Science and Digital Sciences - as part of the DATAIA Institute of Paris-Saclay, this scientific day aimed to bring together researchers and students around the theme of federated and decentralized learning with recent developments from artificial intelligence.


Find below the presentations of the speakers, posters presented and the replay of this day!

Nom de l'accordéon
Poster - "Towards Scalable Resilient Federated Learning: A Fully Decentralised Approach"
Texte dans l'accordéon
  • Divi De Lacour, Marc Lacoste, Mario Südholt, Jacques Traoré
    Orange Innovation,  INRIA - IMT-Atlantique

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Nom de l'accordéon
Poster - "OrangeFL : Decentralized Federated Learning Platform"
Texte dans l'accordéon
  • Frédéric Guyard, Hugo Miralles, Philippe Romano, Tamara Tosic
    Orange Innovation, Sophia-Antipolis

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Nom de l'accordéon
Poster - "Privacy-Aware Microbiome Profiling for Colorectal Cancer Detection using Federated Learning"
Texte dans l'accordéon
  • Niklas Probul-1, Mathieu Almeida-2, Pauline Barbet 2, Emmanuelle Le Chatelier 2, Magali Berland 2, Christina Caroline Saak 1, Stanislav Dusko Ehrlich 4, Nicolas Pons 2, Jan Baumbach 1,3 

1 Chair of Computational Systems Biology, Universität Hamburg, Hamburg, Germany;

2 Université Paris-Saclay, INRAE, MetaGenoPolis, Jouy-en-Josas, France;

3 Computational Biomedicine, University of Southern Denmark, Odense, Denmark;

4 Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, United Kingdom

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Nom de l'accordéon
Poster - "Federated learning with incremental clustering for heterogeneous data"
Texte dans l'accordéon
  • Fabiola Espinoza Castellon, Aurélien Mayoue, Cédric Gouy-Pailler, Jacques-Henri Sublemontier
    CEA

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Nom de l'accordéon
Poster - "Towards a generalized responsible AI with federated learning for native protection of personal data"
Texte dans l'accordéon
  • Walid ERRAY (Head of Data Science DataLab & AI Factory Group), Rim BEN MANSOUR (Data Scientist DataLab)
    Groupe Crédit Agricole


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Ancre
Talks with guest speakers
Corps de texte
  • Aurélien Bellet - CR INRIA, équipe Magnet, laboratoire CRISTAL
    Better Privacy Guarantees for Decentralized Federated Learning

View presentation


  • Sonia Benmokhtar - DR CNRS, LIRIS, Lyon
    Decentralized Learning (as an enabler) for Decentralized Online Services

View presentation


  • Hakim Hacid - Principal Researcher, TII, Abu Dhabi, UAE (groupe AIDRC)
    Towards Edge AI: Principles, current state, and perspectives

View presentation

News on the same topic