Technical Program
SSIE 2022
School dates: 11-15 July, 2022. Brixen, Italy.
Track no. 1 - Machine Learning, Sustainable Edge Computing and Networking
NOTE: Track no. 1 will be entirely held in the main auditorium at the “Casa della Gioventù Universitaria”, University of Padova, located in via Rio Bianco 12, 39042, Brixen, IT.
Monday, July 11 | Quantum Internet and Graph Neural Networks: Understanding the two Paradigm Changes |
8:00 – 8:30 | G. Meneghesso, M. Meneghini, M. Rossi, DEI, University of Padova – Welcome, Introduction and Logistics |
8:30 – 10:30 | Plenary Session Marcello Caleffi, University of Naples, Federico II – Quantum Internet: Wiring the Weirdness |
10:30 – 10:45 | Break |
10:45 – 12:45 | Simone Scardapane, University of Rome “La Sapienza” – Graph Neural networks |
12:45 – 14:00 | Lunch Break |
14:00 – 16:00 | Simone Scardapane, University of Rome “La Sapienza” – Explainability in Graph Neural Networks |
Tuesday, July 12 | Don’t Stop Optimizing: Continual Learning Models and Computing Networks Energy Efficiency |
8:30- 10:30 | Vincenzo Lomonaco, University of Pisa – Fundamentals of Continual Learning |
10:30 – 10:45 | Break |
10:45 – 12:45 | Vincenzo Lomonaco, University of Pisa – Continual Learning in Practice |
12:45 – 14:00 | Lunch Break |
14:00 – 15:30 | Fabrizio Granelli, University of Trento – Energy-efficient Networks & Computing at the Network Edge |
Wednesday, July 13 | Energy Efficiency, Edge Computing and Live Analytics: Key Concepts for Future Wireless Networks |
8:00 – 9:30 | Hazem Sallouha, KU Leuven – Soft-Skill Training – Getting Value Out of a PhD Beyond Papers |
9:30 – 9:45 | Break |
9:45 – 11:15 | François Rottenberg, KU Leuven – Reducing Energy Consumption in Wireless Access: What Should and Could be Done? |
11:15 – 11:30 | Break |
11:30 – 13:00 | Lin Wang, Vrije Universteit Amsterdam – Edge Computing Systems for Live Video Analytics |
13:00 – 14:30 | Lunch Break |
14:30 – 16:00 | Davide Rossi, University of Bologna – PULP: Energy-Efficient ML at the Extreme Edge of the IoT |
Thursday, July 14 | Advanced Topics in Machine Learning: Theory and Considerations |
8:00 – 10:00 | Davide Bacciu, University of Pisa – Fundamentals of Reservoir Computing |
10:00 – 10:15 | Break |
10:15 – 11:45 | Giovanni Ansaloni, EPFL Lausanne – A Swiss knife, not a silver bullet, to unlock pervasive AI |
11:45 – 12:00 | Break |
12:00 – 13:30 | Jakob Hoydis, NVIDIA Research – The Nuts and Bolts of End-to-end Learning |
13:30 – 14:30 | Lunch Break |
14:30 – 18:00 | Student Workshop & Best Presentation Award |
Friday, July 15 | Learning Algorithms and Radio Sensing for Communication Networks and Embedded Systems |
8:00 – 10:00 | Davide Bacciu, University of Pisa – Reservoir Computing for Distributed and Embedded Systems |
10:00 – 10:15 | Break |
10:15 – 11:45 | Nicolò Michelusi, Arizona State University – Learning in Wireless Networks: From Federated to Decentralized Learning Architectures |
11:45 – 12:00 | Break |
12:00 – 13:30 | Paolo Casari, University of Trento – Accurate mmWave Localization and Environment Sensing for Future-generation Networks |
13:30 – 13:45 | Closing |
Technical endorsement
