CV

Ph.D. Student

INRIA Rennes

Supervisors: Davide Frey, Romaric Gaudel, François Taïani

• Conducting research on decentralized learning privacy and collaborating with researchers across multiple institutions.

Research Intern

Sacs Lab, EPFL

Decentralized learning convergence under fragmentation. Supervisor: Anne-Marie Kermarrec

• Studied theoretical convergence rates of decentralized learning with model fragmentation.

Research Intern

Team WIDE, INRIA Rennes

Privacy protection through private averaging. Supervisors: Davide Frey, François Taïani, Romaric Gaudel

• Studied privacy properties of decentralized machine learning and the effects of private averaging using PyTorch.

Research Intern

D7, IRISA Rennes

Adapting Public Announcement Logic update mechanisms to Dynamic Epistemic Logic. Supervisor: Guillaume Aucher

Research Project

Percept, INRIA Rennes

Feature extraction for high dynamic range images. Supervisors: Olivier Le Meur, Mathieu Chambe

• Built a neural network for HDR image feature extraction in TensorFlow.

Research Intern

Mnemosyne, INRIA Bordeaux

Visualization of echo state networks. Supervisor: Nicolas Rougier

• Developed a spatialized ESN and visualized activity using Voronoi diagrams.

Ph.D. in Computer Science

INRIA Rennes

• Advisors: Davide Frey, Romaric Gaudel, François Taïani
• Exploring privacy in decentralized learning via noise correlation, from theoretical foundations to practical methods.

Master's degree (M2 SIF) in Computer Science

ENS Rennes

• Focus on machine learning, image representation, and complex systems.

Preparation for the "Agrégation d'informatique"

ENS Rennes

• Focus on teaching and computer science fundamentals: algorithms, architecture, operating systems, networking, and databases.

Bachelor's degree in Computer Science

École Normale Supérieure de Rennes

Unified privacy guarantees for decentralized learning via matrix factorization

International Conference on Learning Representations (ICLR 2026)

Aurélien Bellet, Edwige Cyffers, Davide Frey, Romaric Gaudel, Dimitri Lerévérend*, and François Taïani.

Low-Cost Privacy-Preserving Decentralized Learning

Proceedings on Privacy Enhancing Technologies (PETs), 2025(3):451–474

Sayan Biswas, Davide Frey, Romaric Gaudel, Anne-Marie Kermarrec, Dimitri Lerévérend*, Rafael Pires, Rishi Sharma, and François Taïani.

Mosaic Learning: A Framework for Decentralized Learning with Model Fragmentation

arXiv:2602.04352

Sayan Biswas, Davide Frey, Romaric Gaudel, Nirupam Gupta, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani, and Martijn de Vos.

Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning

arXiv:2605.19969

Sayan Biswas, Antoine Boutet, Davide Frey, Romaric Gaudel, Rachid Guerraoui, Maxime Jacovella, Anne-Marie Kermarrec, Dimitri Lerévérend, François Taïani, and Martijn de Vos.