I am currently an industrial PhD student in collaboration with Ericsson France and Cnam, Paris, France, under the supervision of Prof. Stefano Secci, Prof. Stéphane Rovedakis, and Dr. Hicham Khalifé. My research focuses on developing a data-driven methodology for sustainable
Teachers' publications
- Les étoiles montantes de l'apprentissage distribué
- Comment se rassembler (avec certitude) quand on est confus et désorienté
- Deterministic Color-optimal Self-stabilizing Semi-synchronous Gathering: a Certified Algorithm
- Rendez-vous au Point-Dont-On-Ne-Doit-Pas-Calculer-Les-Coordonnées
- Des noeuds anonymes hissés au rang de stars
- GNN graph structures in network anomaly detection
- Timing of Contractional Stress Propagation, From the Pyrenean Orogen to the Intraplate Domain, Evidenced by U‐Pb Dating of Syn‐Kinematic Calcite
- Pactole
- On flexible association and placement in disaggregated RAN designs
- HEAL: Resilient and Self-* Hub-based Learning
- Line-rate Botnet Detection with SmartNIC-Embedded Feature Extraction
- HEAL: Resilient and Self-* Hub-based Learning
- Les vivants et les morts dans la Vallée de la Cèze (Gard) : Projet Collectif de Recherche sur les dynamiques d’occupation humaine à la fin du Néolithique et au début de l’âge du Bronze
- FLADxG: Federated Learning Based Anomaly Detection Framework for xG Systems
- Energy Savings on the Uplink thanks to OFDM Cyclic Prefix Suppression
- Function Placement for In-network Federated Learning
- Data Pipeline System Designs for In-network Learning
- Brief Announcement: A Self-* and Persistent Hub Sampling Service
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights
- A Survey on Blockchain Scalability: From Hardware to Layer-Two Protocols
- The PLATO Mission
- Predictive Modeling of Autonomous Vehicle Behavior With Imbalanced & Mixed Data
- Towards an Efficient Navigation Solution for Visually Impaired Individuals: Concepts and Constraints
- Comprehensive Survey on Vehicular Communication Security
- Supervised Machine Learning for Matchmaking in Digital Business Ecosystems and Platforms
- ABD-HFL: Byzantine-resistant Decentralized Hierarchical Federated Learning
- DiNATrAX : a Network Anomalies Detection Framework
- Deep Reinforcement Learning for Joint Energy Saving and Traffic Handling in xG RAN
- Challenger: Blockchain-based Massively Multiplayer Online Game Architecture
- Comment Saboter l'Apprentissage Collectif par Commérage
- Routing Edge-Cloud Requests via Multi-Objective Reinforcement Learning
- GeoGiant: Vers une géolocalisation d'adresses IP à l'échelle grâce aux géants d'Internet
- Improving NDN Resilience: A Novel Mitigation Mechanism Against Cache Pollution Attack
- Grubbs Test Based Algorithms to Improve the Efficiency of Blockchain Oracles
- Emergent Peer-to-Peer Multi-Hub Topology
- Flexible Association and Placement for Open-RAN
- Network Slice Robustness with Function Sets
- Optimal quadratic control of queues by dynamic service rates
- Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021
- Distributed computation of temporal twins in periodic undirected time-varying graphs
