We open-sourced the ULOOF (User-Level Online Offloading) Framework, result of a long-lasting collaboration with UPEM, UFMG, UNIBO and Google. The framework in its current form allows to optimize an arbitrary Android application, analyzing its method-level structure, determine which are offloadable
Recent publications
- Intent-Based Qualification of Industry 4.0 Components
- Function Placement for In-network Federated Learning
- Data Pipeline System Designs for In-network Learning
- The complexity of the perfect matching‐cut problem
- Experiences with disaggregated RAN integrations
- Comprehensive Survey on Vehicular Communication Security
- A Fuzzy-Based Greedy Behaviour Attack Detection Approach in VANETs
- Towards the Intent-based Configuration of I4.0 Components
- Reinforcement Learning to Personalize User eXperience within Digital Business Ecosystems
- Vers l’automatisation de la détection d’anomalies réseaux
- Deep Reinforcement Learning for Joint Energy Saving and Traffic Handling in xG RAN
- DiNATrAX : a Network Anomalies Detection Framework
- Ecosystème d'Affaires Numériques : Modele organisationnel, roles et gouvernance pour la flexibilité
- Grubbs Test Based Algorithms to Improve the Efficiency of Blockchain Oracles
