The 2022 Eiffel scholarship campaign is open. It offers generous financial support for outstanding candidates. The process is as follows:– the student applies to the master on both Campus France, as soon as possible and no later than November 30,
Teachers' publications
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights
- 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
- Energy Optimization for Multi-Band Cellular Networks: A Traffic Prediction-Based Strategy
- Comparative E2E Performance Analysis of O-RAN Designs in a 5G Standalone Testbed
- Data-driven Energy Optimization in Mobile Networks with User Experience Guarantees
- DREAM: Dual foREcAsting Model for Network Anomaly Detection
- GNN graph structures in network anomaly detection
- Timing of inversion of the Weald–Boulonnais basin inferred from calcite U–Pb geochronology of brittle structures along the Opal Coast, northern France
- Timing of Contractional Stress Propagation, From the Pyrenean Orogen to the Intraplate Domain, Evidenced by U‐Pb Dating of Syn‐Kinematic Calcite
- Pactole
- The PLATO Mission
- 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
- PSBA-XG: A Publish/subscribe Service-Based Architecture for Beyond 5G Systems
- 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
- 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
- Routing Edge-Cloud Requests via Multi-Objective Reinforcement Learning
- Comment Saboter l'Apprentissage Collectif par Commérage
- 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
