Federated Learning Workshop

Owkin, Société Française de Statistique, Accenture Labs

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

Sorbonne Université

Thank you for your registration; we are happy to have you on board! A few days before the event starts, we will send over a link to access the platform by email. Should you have any questions by then, don't hesitate to reach out at flearning.workshop@gmail.com!

We are looking forward to meeting you on September 16, 2021, 9:00 AM CET.

<p>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, organised in partnership with the Sorbonne Center for Artificial Intelligence. 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&amp;D to share ideas on Federated Learning (FL) and Privacy-Preserving Machine Learning (PPML). The Federated Learning Workshop is split into 3 events:</p><ul><li><strong>The Federated Learning Workshop, Sept. 16, 2021, </strong>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.</li><li><a href="https://www.youtube.com/watch?v=Z3yHf3eOWCU" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">The Federated Learning Winter School</a>, 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</li><li><a href="https://www.youtube.com/watch?v=sP4SAQHb8EY" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">The Federated Learning Spring School</a>, Wednesday, March 23, 2021, was also fully live-streamed and focused on machine learning-oriented cryptography</li></ul><p>Registration is now open for the Federated Learning Workshop, and we are thrilled to invite you to participate in this  event!</p><p></p><h2>Workshop Program</h2>
<ul><li>09:00 - 09:25 AM: Welcome Coffee </li></ul><ul><li>09:25 - 09:30 AM: Welcome Address</li></ul><h3></h3><h3>Plenary Session - 09:30 AM - 3:20 PM CET</h3>
Speakers Biography &amp; Abstracts <a href="https://sites.google.com/view/federatedlearning-workshop" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">available here</a><ul><li>09:30 AM - 10:10 AM: <strong>Marco Lorenzi</strong> - INRIA Sophia Antipolis. Federated Learning in Biomedical Applications: from Theory to Practice</li></ul><ul><li>10:10 AM - 10:50 AM: <strong>Martin Jaggi</strong> - Tenure Track Assistant. Professor, Machine Learning and Optimization Laboratory, EPFL. Federated &amp; Collaborative Learning with Robustness and Personalization</li></ul><ul><li>10:50 AM - 11:10 AM: Coffee Break</li></ul><ul><li>11:10 AM - 11:50 AM: <strong>Aurélien Bellet</strong> - Researcher in AI &amp; Machine Learning, INRIA. Privacy-Preserving Federated Learning </li></ul><ul><li>11:50 ¨AM - 12:30 PM: <strong>Laurent Massoulié </strong>- Lab Director, Microsoft Research - Inria Joint Center. Fast Distributed Optimization with Asynchrony and Time Delays</li></ul><ul><li>12:30 PM - 02:00 PM: Lunch Break - Lunch will be provided</li></ul><ul><li>02:00 PM - 02:40 PM: <strong>Pascal Paillier</strong> - Chief Technology Officer, Zama. Homomorphic Encryption</li></ul><ul><li>02:40 PM -  3:20 PM: <strong>Yann Favier</strong> - 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.<em> </em>Health data, research and machine learning: what legal framework for professionals?</li></ul><ul><li>3:20 PM - 3:40 PM: Coffee Break</li></ul><p></p><h3>Industrial Vision - 3:40 PM - 4:20 PM CET</h3><ul><li>3.40 PM - 4:00 PM: Laetitia Kameni, Artificial Intelligence R&amp;D Manager, Accenture Labs. From Me to We: Breaking down silos for new collaboration style</li><li>4:00 PM - 4:20 PM: Mathieu Andreux, Federated Learning Group Lead, Owkin. Federated Learning Applications in Healthcare: Challenges and Opportunities</li></ul><p></p><h3>Industrial Panel - 4:20 PM - 5:20 PM CET</h3><ul><li>Medb Corcoran, Managing Director at Accenture Labs </li><li>Victor Dillard, SVP, Head of Commercial Operations, Owkin </li><li>Bruno Grieder, Chief Technology Officer and Co-Founder, Cosmian</li><li>Aurélien Bellet,  Researcher in AI &amp; Machine Learning, INRIA  </li><li>Aymeric Dieuleveut, Assistant Professor of Statistics, Polytechnique (Moderator)</li><h3></h3></ul><h3>Cocktail - 5:30 PM - 7:00 PM CET</h3><h3></h3><h2><strong>Speakers Biography &amp; Abstracts </strong><a href="https://sites.google.com/view/federatedlearning-workshop" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"><strong>available here</strong></a><strong> </strong></h2><ul><h3></h3></ul>

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Federated Learning Workshop

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Federated Learning Workshop

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