Federated Learning Workshop

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!

• 09:00 - 09:25 AM: Welcome Coffee

• 09:25 - 09:30 AM: Welcome Address

• 09:30 AM - 10:10 AM: Marco Lorenzi - INRIA Sophia Antipolis. Federated Learning in Biomedical Applications: from Theory to Practice

• 10:10 AM - 10:50 AM: Martin Jaggi - Tenue Track Assistant. Professor, Machine Learning and Optimization Laboratory, EPFL. Federated Learning and Applications

• 10:50 AM - 11:10 AM: Coffee Break

• 11:10 AM - 11:50 AM: Aurélien Bellet - Researcher in AI & Machine Learning, INRIA. Privacy-Preserving Federated Machine Learning

• 11:50 ¨AM - 12:30 PM: Laurent Massoulié - Lab Director, Microsoft Research - Inria Joint Center

• 12:30 PM - 02:00 PM: Lunch Break - Lunch will be provided

• 02:00 PM - 02:40 PM: Pascal Paillier - Chief Technology Officer, Zama. Homomorphic Encryption

• 02:40 PM - 3:20 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?

• 3:20 PM - 3:40 PM: Coffee Break

• 3.40 PM - 4:00 PM: Laetitia Kameni, Artificial Intelligence R&D Manager, Accenture Labs. From Me to We: Breaking down silos for new collaboration style
• 4:00 PM - 4:20 PM: Mathieu Andreux, Federated Learning Group Lead, Owkin. Federated Learning Applications in Healthcare: Challenges and Opportunities

• 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)
  

Event Venue & Nearby Stays

Sorbonne Université, 4 Place Jussieu, Paris, France