Lorenzi, Marco

11 publications

ICML 2025 When to Forget? Complexity Trade-Offs in Machine Unlearning Martin Van Waerebeke, Marco Lorenzi, Giovanni Neglia, Kevin Scaman

JMLR 2024 On Tail Decay Rate Estimation of Loss Function Distributions Etrit Haxholli, Marco Lorenzi

AISTATS 2024 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

JMLR 2023 A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi

NeurIPSW 2023 Enhanced Distribution Modelling via Augmented Architectures for Neural ODE Flows Etrit Haxholli, Marco Lorenzi

NeurIPS 2022 FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Teleńczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux

AISTATS 2021 Free-Rider Attacks on Model Aggregation in Federated Learning Yann Fraboni, Richard Vidal, Marco Lorenzi

ICML 2021 Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi

ICML 2019 Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi

ICML 2018 Constraining the Dynamics of Deep Probabilistic Models Marco Lorenzi, Maurizio Filippone

CVPRW 2016 Accurate Small Deformation Exponential Approximant to Integrate Large Velocity Fields: Application to Image Registration Sebastiano Ferraris, Marco Lorenzi, Pankaj Daga, Marc Modat, Tom Vercauteren