Laetitia Kameni

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, Fraboni, Yann, Richard Vidal +6 · 14 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #cs.AI #cs.LG
3. Personalized Federated Learning through Local Memorization
   2021/11/17 by Othmane Marfoq, Marfoq, Othmane, Giovanni Neglia +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
4. 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
5. SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
   2022/11/21 by Yann Fraboni, Martin Van Waerebeke, Fraboni, Yann +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
6. 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
7. 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)
8. Evaluating the Energy Consumption of Machine Learning: Systematic Literature Review and Experiments
   2024/08/27 by Rodriguez, Charlotte, L. Degioanni, Degioanni, Laura +6 · 2 citations
   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