R. Vidal

1. Federated Multi-Task Learning under a Mixture of Distributions
   2021/08/23 by Othmane Marfoq, Marfoq, Othmane, Giovanni Neglia +7 · 28 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data
2. 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
3. Throughput-Optimal Topology Design for Cross-Silo Federated Learning
   2020/10/23 by Othmane Marfoq, Marfoq, Othmane, Chuan Xu +5 · 8 citations
   Computer Science · Engineering · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Ferroelectric and Negative Capacitance Devices
4. Personalized Federated Learning through Local Memorization
   2021/11/17 by Othmane Marfoq, Giovanni Neglia, Marfoq, Othmane +5 · 6 citations
   Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
5. A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates
   2022/06/21 by Yann Fraboni, Fraboni, Yann, R. Vidal +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
6. 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
7. Federated Learning for Data Streams
   2023/01/04 by Othmane Marfoq, Giovanni Neglia, Marfoq, Othmane +5 · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data
8. Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications
   2023/04/24 by Francesco Cremonesi, Marc Vesin, Cremonesi, Francesco +35 · 2 citations
   Computer Science · Social Sciences · #Access Control and Trust #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
9. Evaluating the Energy Consumption of Machine Learning: Systematic Literature Review and Experiments
   2024/08/27 by Rodriguez, Charlotte, L. Degioanni, Laetitia Kameni +6 · 1 citation
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Green IT and Sustainability #I.2 #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing