Second Greenedge Training Event

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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 has been 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 had an opportunity of interacting and networking with their peers from other programs.  

How it went: The SSIE PhD Summer School had featured lectures from 26 renowned speakers, two technical tracks and one student workshop (one full afternoon), where PhD students had a chance of presenting their ongoing research. The best student presentations from the workshop have received an award, jointly presented by the IEEE Italy section and by the Department of Information Engineering at the University of Padova. The PhD School has attracted 146 participants overall, 128 of whom were PhD students and 18 from research centers and companies within the broad ICT field. Track no. 1 (around 100 attendees) has been designed around the research themes of two EU ITN projects: MINTS (Ga. 861222) and Greenedge (Ga. 953775). This has provided ample networking opportunities for the PhD students of these training networks. PhD students came from numerous Italian universities, including: University of Bologna, University of Cassino, University of Pisa, Rome “La Sapienza”, University of Messina, University of Milan, University of Naples, University of Palermo, University of Perugia, Roma Tre, Politecnico di Torino, Università del Salento, University of Trento, as well as from Universities located outside of Italy, including: Aalborg University, University of Darmstadt , Technical University of Denmark, ETH Zurich, University of Ghent, KU Leuven, Imperial College London, University of Linnaeus, University of Luxemburg, Norwegian University of Science and Technology, University of OULU, TU Wien. Participants from companies and research centers were from CEA, CTTC, EURECOM, Fondazione Bruno Kessler, IMDEA Networks, IEMN-CNRS, Infineon Austria, Material center Leoben, NEC Laboratories Europe GmbH, Nokia Solutions and Networks Oy, Soitec Belgium NV.

A quick video from the school

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