Academic year 2026/2027:
Teachers' publications
- Accord en dépit de Byzantins Mobiles dans un Monde de Confiance
- ABD-HFL : Apprentissage fédéré hiérarchique décentralisé et résistant aux attaques byzantines
- Accord approché cross-blockchain tolérant les fautes Byzantines
- Energy-Efficient Uplink-Downlink Decoupling for 6G TN-NTN Multi-Connectivity
- Optimal Load Balancing in Federated Locator/ID Separation Protocol (LISP) Traffic Engineering
- O-RAN Integrated Space-Terrestrial Networks: A Multi-Connectivity Strategy Analysis
- Formal Verification of Multi-Controller Systems in Cloud Management
- Epidemiology and management of malignancies in patients with inborn errors of immunity—An ESID registry study of 19,959 patients
- Amawal n Tsenselkimt: Tafṛansist - Taglizit - Taqbaylit
- Clinical Manifestations of Emerging Trichosporon spp. Infections, France
- On Graph Design for GNN-based Network Anomaly Detection
- Novel Bioactive Multifunctional Polyphenols: A Chemo‐Enzymatic Approach
- 5G-Attacks: A New Dataset From Realistic 5G-Core Attacks
- MetaLore: learning to orchestrate communication and computation for metaverse synchronization
- Real-time Botnets Activity Detection
- Mobile Byzantine Agreement in a Trusted World
- An FPGA-Based LDPC Decoder for Smart-NICs
- Entanglement routing in large-scale quantum networks with ground-space interconnection
- LIFT: Byzantine Resilient Hub-Sampling
- An AI Security Testbed for the 5G Core
- Feature Skew Control for In-Network Federated Learning
- Shared Responsibility in Multi-Tenant Microcontrollers
- Les langues peu dotées à l’ère du numérique et de l’IA : exemple de la langue kabyle
- Randomness is good enough in DAG-based Federated Learning
- The Multi-controller Model in Cloud Management
- ORCA: Unveiling Obscure Containers In The Wild
- FLAIR: Distributed Federated Learning with Dynamic Clustering
- TinyML as a Service on Multi-Tenant Microcontrollers
- Interpretability and Identification of the Impact of ML-Based Localization Model Key Parameters
- Energy-Efficient CP-Free OFDM Transmission with Blind Channel Estimation for IIoT Applications
- Inborn errors of immunity: Manifestation, treatment, and outcome—an ESID registry 1994–2024 report on 30,628 patients
- Leveraging Graph Neural Networks for Attack Detection in IoT Systems
- Deep Q-ICAN: A Deep Reinforcement Learning-based Approach for Real-time CPA Attack Detection and Mitigation in NDN Architecture
- Federated learning for secure in-vehicle communication
- Multi-Task Learning for Joint Indoor Localization and Blind Channel Estimation in OFDM Systems
- Towards a Secure Modular Drone-Based Hardware Architecture for IoT-Enabled Traffic Safety in Intelligent Transportation Systems
- Enhancing Security and Privacy in 5G Bubbles with Zero-Knowledge Proofs: A Comparative Analysis
- Unsupervised Deep Learning for Behavioral and Quality Anomaly Detection in 5G Networks: Early Methods and Challenges
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights
- Exploiting Internet's Shadow Areas for Stealth Interception BGP Hijack at Internet Exchange Points
