Yann Fraboni - RankMe

13 papers A* 1A 2Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MUSE-VFL: Multi-party Unified System for Private and Communication Efficient Backpropagation in Vertical Federated Learning. IACR Cryptol. ePrint Arch. Ivan Tjuawinata, Yann Fraboni, Ziyao Liu, Jun Zhao, Pu Duan, Kwok-Yan Lam
2024	A	`conf`	SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization. AISTATS Yann Fraboni, Martin Van Waerebeke, Kevin Scaman, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2023	J	`jnl`	A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates. J. Mach. Learn. Res. Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2023	—	`—`	Reliability and robustness of federated learning in practical applications. (Fiabilité et robustesse de l'apprentissage fédéré pour applications concrètes). Yann Fraboni
2023	—	`conf`	Validation of Federated Unlearning on Collaborative Prostate Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sébastien Ourselin, Marco Lorenzi
2022	—	`conf`	A General Theory for Client Sampling in Federated Learning. FL@IJCAI Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2022	J	`jnl`	A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates. CoRR Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2022	J	`jnl`	Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization. CoRR Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2021	A*	`conf`	Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. ICML Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2021	J	`jnl`	Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. CoRR Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2021	A	`conf`	Free-rider Attacks on Model Aggregation in Federated Learning. AISTATS Yann Fraboni, Richard Vidal, Marco Lorenzi
2021	J	`jnl`	On The Impact of Client Sampling on Federated Learning Convergence. CoRR Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2020	J	`jnl`	Free-rider Attacks on Model Aggregation in Federated Learning. CoRR Yann Fraboni, Richard Vidal, Marco Lorenzi