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Sorbonne Université

4 Place Jussieu

75005 Paris

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Federated Learning Workshop | Hybrid Event - Online & Onsite (Paris, FR - health pass required)

About this event

Owkin, Société Française de Statistique (SFdS), and Accenture Labs are thrilled to invite you to the third and last event of the Federated Learning Workshop series. These technical, research-oriented events are free of charge and attract both academic and industry attendees. Their aim is to act as a forum for researchers and private R&D to share ideas on Federated Learning (FL) and Privacy-Preserving Machine Learning (PPML). The Federated Learning Workshop is split into 3 events:

  • The Federated Learning Workshop, Sept. 16, 2021, will last a full day, with a broad range of distinguished speakers, an plenary session to forecast the most promising directions for future research, and an industrial panel on developing new benchmarks and other evaluations for these techniques, as well as the application challenges.
  • The Federated Learning Winter School, Nov. 24, 2020, was fully live-streamed and focused on the basics of FL and PPML. Two well-known researchers gave an introduction to help interested people get started in these topics
  • The Federated Learning Spring School, Wednesday, March 23, 2021, was also fully live-streamed and focused on machine learning-oriented cryptography

Registration is now open for the Federated Learning Workshop, and we are thrilled to invite you to participate in this event!

Workshop Program

Plenary Session - 09:30 AM - 3:15 PM CET

  • 09:30 AM - 10:00 AM: Marco Lorenzi - INRIA Sophia Antipolis. Federated Learning in Biomedical Applications: from Theory to Practice
  • 10:00 AM - 10:45 AM: Martin Jaggi - Tenue Track Assistant. Professor, Machine Learning and Optimization Laboratory, EPFL. Federated Learning and Applications
  • 10:45 AM - 11:15 AM: Coffee Break
  • 11:15 AM - 12:00 PM: Aurélien Bellet - Researcher in AI & Machine Learning, INRIA. Privacy-Preserving Federated Machine Learning
  • 12:00 ¨PM - 12:30 PM: Speaker to be announced
  • 12:30 PM - 02:00 PM: Lunch Break - Lunch will be provided
  • 02:00 PM - 02:45 PM: Pascal Paillier - Chief Technology Officer, Zama. Homomorphic Encryption
  • 02:45 PM - 3:15 PM: Yann Favier - Professor of Private Law at the University of Savoie Mont Blanc (USMB - Faculty of Law), Deputy Director of the Antoine Favre Law Research Center, Co-leader of the Health Data project at USMB. Health data, research and machine learning: what legal framework for professionals?
  • 3:15 PM - 3:45 PM: Coffee Break

Industrial Vision - 3:45 PM - 4:25 PM CET

  • 3.45 PM - 4:05 PM: Mathieu Andreux, Federated Learning Group Lead, Owkin
  • 4:05 PM - 4:25 PM: Laetitia Kameni, Artificial Intelligence R&D Manager, Accenture Labs

Industrial Panel - 4:30 PM - 5:30 PM CET

  • Medb Corcoran, Managing Director at Accenture Labs
  • Victor Dillard, SVP, Head of Commercial Operations, Owkin
  • Bruno Grieder, Chief Technology Officer and Co-Founder, Cosmian
  • Aurélien Bellet, Researcher in AI & Machine Learning, INRIA
  • Aymeric Dieuleveut, Assistant Professor of Statistics, Polytechnique (Moderator)

Cocktail - 5:30 PM - 6:30 PM CET

Speakers Biography & Abstracts available here

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Sorbonne Université

4 Place Jussieu

75005 Paris

France

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