Training Event programme:
September 8, 2026 - day 1 | |
9:00-10:30 | Keynote: Distributed AI at the Edge - Alexandru Dobrila (Hivenet/Antimatter) |
10:30-11:00 | Coffee break |
11:00-12:30 | Distributed inference in the edge-network-cloud continuum - Frédéric Giroire (CNRS) |
12:00-14:00 | Lunch |
14:00-15:30 | The Road to Autonomous Networks: AI/ML Foundations and Frontiers - Farnaz Moradi (Ericsson) |
15:30-15:45 | Coffee break |
15:45-17:00 | Students Presentations (Session 1) |
September 9, 2026 - day 2 | |
9:00-10:30 | Keynote: AI in radio access networks: challenges and open problems - Zwi Altman (Orange Lab) |
10:30-11:00 | Coffee break |
11:00-12:30 | Bayesian optimization: Theory and applications to telecommunications - Lorenzo Maggi (NVIDIA) |
12:00-14:00 | Lunch |
14:00-15:30 | Panel: Application and Role of AI in Industry Panelists: - Zwi Altman (Orange) - Alexandru Dobrila (Hivenet/Antimatter) - Lorenzo Maggi (NVIDIA) - Farnaz Moradi (Ericsson) |
15:30-15:45 | Coffee break |
15:45-17:00 | Students Presentations (Session 2) |
19:00 | Social Dinner at restaurant: l’Atelier 67 |
September 10, 2026 - day 3 | |
9:00-10:30 | Robust Machine Learning: A Quest to Learning in Untrusted Environment (I) - Nirupam Gupta (University of Copenhagen) |
10:30-11:00 | Coffee break |
11:00-12:30 | Reinforcement learning: from bandits to structured MDPs (I) - Bruno Gaujal (Inria) |
12:00-14:00 | Lunch |
14:00-15:30 | Student Presentations (Session 3) |
15:30-15:45 | Coffee break |
15:45-17:00 | Students Presentations (Session 4) |
September 11, 2026 - day 4 | |
9:00-10:30 | Robust Machine Learning: A Quest to Learning in Untrusted Environment (II) - Nirupam Gupta (University of Copenhagen) |
10:30-11:00 | Coffee break |
11:00-12:30 | Reinforcement learning: from bandits to structured MDPs (II) - Bruno Gaujal (Inria) |
12:00-14:00 | Lunch |
14:00-15:30 | Student Presentations (Session 5) |
15:30-16:00 | Coffee break |
Student Presentations:
September 8, 2026 | Session 1: Efficient Edge Inference |
Léo Bernard (INRIA) | Threshold-based Routing for Energy-efficient Experts |
Kyrylo Tymchenko (INRIA) | Confidence-Shaped Regression Cascades for Efficient Edge Inference |
September 9, 2026 | Session 2: Resource Allocation and Efficient Training |
Isidoor Pinillo Esquivel (DC8 FINALITY) | Quantized Online Gradient Descent for Constant-Time Caching with Dynamic Regret Guarantees |
Mariya Peter (DC15 FINALITY) | Fairness-Aware Optimal Transport Framework for Flow Allocation in Interconnected Network Systems |
Nicolas Helson (Avignon Université) | Network-Adaptive Gradient Compression for Faster ML Model Training in Datacenters |
September 10, 2026 | Session 3: Federated Learning: Fairness, Robustness, and Unlearning |
Neeraja Sudhakaran (DC14 FINALITY) | Towards Fair Federated Learning: Analyzing the Impact of Data Heterogeneity and Data Repair |
Jingye Wang (DC7 FINALITY) | The Praetorian Guard: Unveiling the Vulnerability of Trust-Based Defense in Federated Learning |
Florian Zimmer (Fraunhofer) | Enabling Decentralised Federated Unlearning in Industrial Cross-Organisational Environments |
Panos Raptis (DC3 FINALITY) | Dynamic Fairness in Multi-Task Edge Learning |
September 10, 2026 | Session 4: Reinforcement Learning and AI-Driven Network Intelligence |
Sooraj Skanda (DC11 FINALITY) | Model-Based Multi-Agent Reinforcement Learning for Integrated Sensing and Communication |
Andreas Pattichis (DC13 FINALITY) | Continual Learning from Streams of Unlabeled Data in LLM Systems |
Michele Simeone (DC6 FINALITY) | Exploring KPI Trade-offs in O-RAN Conflict Resolution with Deep Reinforcement Learning |
Luigi Rachiele (DC5 FINALITY) | From Fixed Pipelines to Agentic Decisions: An LLM Orchestrator for Anomaly Detection in Mobile Network Drive Tests |
September 11, 2026 | Session 5: Learning and Control under Resource Constraints |
Muyun Li (DC10 FINALITY) | RL-based Edge Access Control for Time-Sensitive Tasks under Resource Contention |
Oihan Azkarate Iriarte (DC1 FINALITY) | Optimal Control and Learning of Tandem Queues with Transfer Costs |
Haoming Lin (DC7 FINALITY) | Structure of Optimal Admission Control under Resource Constraints |
Berfin Dinc (DC2 FINALITY) | Closed-Loop Control with Delayed Information |