The GDR RSD organizes in association with SIF two days on Distributed Learning from September 21th to September 22th, 2023 in Lyon, France. Registration fees are 100€ (50% discount for SIF members) and includes breaks, social diner, and keynotes (places are limited,please note that the registration policy is "first-in-first-in").
These days will feature 8 technical keynotes (September 21th), and 8 multidisciplinary presentations dealing with the different challenges of decentralized learning (September 22th).
08:30 - 09:00 | Welcome/Breakfast |
09:00 - 09:30 | Sara Bouchenak (INSA-Lyon) |
Towards Privacy, Robustness and Fairness in Federated Learning |
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09:30 - 10:00 | Antoine Boutet (INSA-Lyon) |
When an adversary tries to steal the meager accuracy gain offered by FL |
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10:00 - 10:30 | Discussion |
10:30 - 11:00 | Break |
11:00 - 11:30 | Aymeric Dieuleveut (Ecole Polytechnique) |
A Tour on Compression in Federated Learning |
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11:30 - 12:00 | Marc Tommasi (Université de Lille) |
Topology Learning for Decentralized Optimization |
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12:00 - 12:30 | Discussion |
12:30 - 14:00 | Lunch |
14:00 - 14:30 | Chuan XU (Inria) |
Passive attacks for federated learning |
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14:30 - 15:00 | Sara Tucci (CEA) |
Byzantine resilient distribted systems |
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15:00 - 15:30 | Discussion |
15:30 - 16:00 | Break |
16:00 - 16:30 | Stefan Duffner (INSA-Lyon) |
Federated Learning for Health Applications |
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16:30 - 17:00 | Kevin Scaman (Inria) |
The Impact of Data Heterogeneity on Personalized Federated Learning |
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17:00 - 17:30 | Discussion |
08:30 - 09:00 | Welcome/Breakfast |
09:00 - 09:30 | Christian Reimsbach-Kounatze (OCDE) |
Emerging privacy-enhancing technologies - Current regulatory and policy approaches |
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09:30 - 10:00 | Claude Kirchner (CNPEN) |
Enjeux d’éthique des architectures numériques décentralisées, ou pas. |
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10:00 - 10:30 | Margo Bernelin (CNRS) |
L'apprentissage distribué et le droit : nage synchronisée ? |
10:30 - 11:00 | Break |
11:00 - 11:30 | Alexis Leautier (CNIL) |
Avantages pour la vie privée des approches décentralisées et recommandations de la CNIL |
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11:30 - 11:45 | Antoine Richard (HCL) |
Problématiques de l’apprentissage fédéré en santé (le cas d’un réseau de CHU) |
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11:45 - 12:00 | Clément Devic (Unicancer) |
Retour d'expérience: le cas d'un apprentissage fédéré en imagerie TEP-TDM pour prédire la survie de patients atteints de cancer pulmonaire métastatique traité par immunothérapie |
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12:00 - 12:45 | Table Ronde : Problématiques de l’apprentissage fédéré en santé |
Margo Bernelin (CNRS), Alexis Leautier (CNIL), Claude Kirchner (CNPEN), François Talbot (HCL), Antoine Richard (HCL), Christian Reimsbach-Kounatze (OCDE), Marco Lorenzi (Inria), Clément Devic (Unicancer), Olivier Humbert (Unicancer) |
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13:00 - 14:00 | Lunch |