Program
09:00 – 10:00 : Keynote – « Opportunities and Challenges on Distributed Learning », by Anne-Marie Kermarrec (EPFL)
10:00 – 10:30 : Coffee / tea break
10:30 – 11:30 : Session 1 – Privacy
Session Chair: Mohamed Maouche (INSA Lyon – CITI)
- Francesco Diana (Inria – Université Côte d’Azur), « Attribute Inference Attacks for Federated Regression Tasks », AAAI 2025
- Antoine Boutet (INSA Lyon), « MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers », Middleware 2022
- Dimitri Lerévérend (Inria – Université de Rennes), « Low-Cost Privacy-Preserving Decentralized Learning », PETS 2025
11:30 – 12:30 : Session 2 – Data & Applications
Session Chair: Sébastien Valette (CNRS – CREATIS)
- Nelly Barret (Politecnico di Milano), « Leveraging Profiling to Bridge Healthcare Silos for Federated Analyses », CAiSE 2025
- Mickaël Bettinelli (Université Savoie Mont Blanc), « Discovering Communities With Clustered Federated Learning », IEEE Int. Conf. on Big Data 2024
- Tan-Khiem Huynh (Inria – INSA Lyon), « Streaming Federated Learning with Markovian Data »
12:30 – 13:30 : Lunch
13:30 – 14:45 : Session 3 – Robustness
Session Chair: Nadia Bennani (INSA Lyon – LIRIS)
- Alexandre Pham (Sorbonne Université), « Data Poisoning Attacks in Gossip Learning », AINA 2024
- Okba Ben Atia (Université de Belfort Montbéliard), « M3D-FL: Multi-layer Malicious Model Detection for Federated Learning in IoT Networks », Computers and Security 2025
- Bastien Vuillod (CEA-LETI Grenoble), « Impact of LoRA on Backdoor Attacks Against Model Adaptation in Federated Learning »
- Mohamed Maouche (Inria Lyon), « GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework »
14:45 – 15:45 : Session 4 – Potpourri
Session Chair: Guillaume Metzler (Univ. Lyon 2 – ERIC)
- Aurélien Bellet (Inria – Université de Montpellier), « Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis », AISTATS 2025
- Sara Bouchenak (INSA Lyon), « Bias in Federated Learning: A Comprehensive Survey », ACM Computing Surveys 2025
- Ahmed Bellachia (La Rochelle Université), « VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning », NOMS 2025
15:45 – 16:15 : Coffee / tea break
16:15 – 17:15 : Session 5 – Optimization & Resilience
Session Chair: Rémi Watrigant (Univ. Lyon 1 – LIP)
- Thang Nguyen & Denis Trystram (Université Grenoble Alpes), « Handling Delayed Feedback in Distributed Online Optimization: A Projection-Free Approach », ECML 2024
- Arnaud Descours (Inria Lille), « Gradient Projection onto Historical Descent Directions for Communication-Efficient Federated Learning »
- Mohamed Amine Legheraba (Sorbonne Université), « HEAL: Resilient and Self-* Hub-Based Learning », AINA 2025
Date
Friday June 27, 2025, at 9:00 am
Location
Campus de la Doua – INSA Lyon
Bâtiment Hedy Lamarr – Amphithéâtre Claude Chappe
6 Av. des Arts, 69100 Villeurbanne
Organizing Committee
- Sara Bouchenak (INSA Lyon – Head of Fédération Informatique de Lyon)
- Frédéric Vivien (Inria)
- Nadia Bennani (INSA Lyon)
- Antoine Gourru (Télécom Saint-Étienne)
- Mohamed Maouche (Inria)
- Guillaume Metzler (Université Lyon 2)
- Sébastien Valette (CNRS)
- Rémi Watrigant (Université Lyon 1)
Student Volunteers
- Théotime Balaguer (LIP)
- Antoine Bonneau (CITI)
- Cédric Boscher (LIRIS)
- Maylis Jouvencel (CREATIS)
- Romain Bouarah (CITI)
- Thibaud Leteno (LabHC)
- Maria Marquez-Sosa (CREATIS)
Contact
fil-direction (at) groupes.renater.fr
