Yann Fraboni

Researcher, Ant International

Joined

April 2026

Names

Yann Fraboni (Preferred)

Emails

****@ant-intl.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Researcher

Ant International (ant-intl.com)

2024 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

MUSE-VFL: Multi-party Unified System for Private and Communication Efficient Backpropagation in Vertical Federated Learning
Ivan Tjuawinata, Yann Fraboni, Ziyao Liu, Jun Zhao, Pu Duan, Kwok-Yan Lam
- IACR Cryptol. ePrint Arch. 2025
- Readers: Everyone
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
Yann Fraboni, Martin Van Waerebeke, Kevin Scaman, Richard Vidal, Laetitia Kameni, Marco Lorenzi
- AISTATS 2024
- Readers: Everyone
Validation of Federated Unlearning on Collaborative Prostate Segmentation
Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sébastien Ourselin, Marco Lorenzi
- ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023
- Readers: Everyone
Reliability and robustness of federated learning in practical applications. (Fiabilité et robustesse de l'apprentissage fédéré pour applications concrètes)
Yann Fraboni
- undefined 2023
- Readers: Everyone
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
- J. Mach. Learn. Res. 2023
- Readers: Everyone
Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
- CoRR 2022
- Readers: Everyone
A General Theory for Client Sampling in Federated Learning
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
- FL@IJCAI 2022
- Readers: Everyone
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
- CoRR 2021
- Readers: Everyone
Free-rider Attacks on Model Aggregation in Federated Learning
Yann Fraboni, Richard Vidal, Marco Lorenzi
- AISTATS 2021
- Readers: Everyone

View all 13 publications