Second School SSIE

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Greenedge School no. 2, Summer PhD School of Information Engineering, held in Brixen (Italy) on July 11-15, 2022

The second Greenedge training event is held in conjunction with the Summer School of Information Engineering (SSIE) in Brixen (Italy) on July 11-15, 2022. SSIE is a renowned PhD Summer School that is being organized by the Department of Information Engineering of the University of Padova since 1991. The 2022 edition of SSIE is co-organized by UNIPD and the IEEE Italy Section, it features two technical tracks, with track no. 1 dedicated to Greenedge topics.  Several EU projects are involved in this edition of the Summer School, so the Greenedge researchers will have an opportunity of interacting and networking with their peers from other programs.  

School Program

Mon – July 11, 2022

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

9:30-10:30

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

Tue – July 12, 2022

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

Wed – July 13, 2022

Energy Efficiency, Edge Computing and Live Analytics: Key Concepts for Future Wireless Networks

8:00-9:30

Sofie Pollin, 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

Thu – July 14, 2022

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

Fri – July 15, 2022

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 – mm-Wave Sensing for Future Generation Networks (tentative title)

13:30-13:45

Closing