Master in Computer Networks and IoT Systems – Cnam, Paris, France
Master in Computer Networks and IoT Systems – Cnam, Paris, France
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Academic year 2026/2027:
Teachers' publications
Energy-Efficient Uplink-Downlink Decoupling for 6G TN-NTN Multi-Connectivity
O-RAN Integrated Space-Terrestrial Networks: A Multi-Connectivity Strategy Analysis
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
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
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
Energy-Efficient CP-Free OFDM Transmission with Blind Channel Estimation for IIoT Applications
Interpretability and Identification of the Impact of ML-Based Localization Model Key Parameters
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
Deterministic Color-optimal Self-stabilizing Semi-synchronous Gathering: a Certified Algorithm
Comment se rassembler (avec certitude) quand on est confus et désorienté
Les étoiles montantes de l'apprentissage distribué
Des noeuds anonymes hissés au rang de stars
Rendez-vous au Point-Dont-On-Ne-Doit-Pas-Calculer-Les-Coordonnées
Energy Optimization for Multi-Band Cellular Networks: A Traffic Prediction-Based Strategy
Distributed computation of temporal twins in periodic undirected time-varying graphs