Fraboni, Yann

1. Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
   2021/05/12 by Yann Fraboni, R. Vidal, Fraboni, Yann +5 · 14 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
2. Free-rider Attacks on Model Aggregation in Federated Learning
   2020/06/21 by Yann Fraboni, Fraboni, Yann, Marco Lorenzi +2 · 10 citations
   Computer Science · #Privacy-Preserving Technologies in Data #Adversarial Robustness in Machine Learning #Advanced Graph Neural Networks
3. A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates
   2022/06/21 by Yann Fraboni, R. Vidal, Fraboni, Yann +5 · 5 citations
   Computer Science · Materials Science · #FOS: Computer and information sciences #Graphene research and applications #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
4. SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
   2022/11/21 by Yann Fraboni, Fraboni, Yann, Martin Van Waerebeke +9 · 4 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
5. A General Theory for Client Sampling in Federated Learning
   2021/07/26 by Yann Fraboni, Fraboni, Yann, Vidal, Richard +4 · 3 citations
   Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Data Quality and Management #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)