We are two weeks away from HiPEAC 2024 and VEDLIoT is taking part.
We’ll have a booth (room Pluto) and we’re organising the 3rd edition of the Deep Learning for IoT (DL4IoT) workshop, which will take place on 19 January, from 10:00 to 13:00, in Munich (Germany).
The programme for this edition is now available. See it below or follow this link to the session programme.
Program
10:00 – 10:05 Opening, Jens Hagemeyer, Bielefeld University
10:05 – 10:15 “VEDLIoT project overview”, Jens Hagemeyer, Bielefeld University
10:15 – 10:30 “VEDLIoT results”, Jens Hagemeyer, Bielefeld University
10:30 – 10:45 “Integrated AI Systems: Challenges, use cases and steps ahead”, Tanja Harbaum, Karlsruhe Institute of Technology
10:45 – 11:00 “A quick tour of Fully Binarized Neural Networks: From (some) Applications to (some) Theory”, Sebastian Buschjäger, The Lamarr Institute for Machine Learning and Artificial Intelligence
11:00 – 11:30 Coffee Break
11:30 – 11:45 “Exploring applications of Deep Learning to orchestrate the Cloud-Edge-IoT computing continuum”, Salvador Cuñat Negueroles, Universitat Politècnica de València
11:45 – 12:00 “Conformal time-to-event prediction”, Alireza Javanmardi, Ludwig Maximilian University of Munich
12:00 – 12:15 “ML-based Smart Management for the Cloud-Edge Continuum”, Peini Liu, Barcelona Supercomputing Center
12:15 – 12:30 “COGNIFOG: an AI-empowered Edge Cloud Continuum”, Selma Azaiez, CEA
12:30 – 12:45 “Using DL/ML models for safe, effective, and ethical management of data-intensive Edge/Cloud spectrum applications”, Konstantinos Latanis, Suite5 Data Intelligence Solutions
12:45 – 12:55 Discussion on future trends, Pedro Trancoso, Chalmers University of Technology (moderator)
12:55 – 13:00 Closing, Jens Hagemeyer, Bielefeld University