Auditorium

In this session, we celebrate outstanding contributions to the field presented at IE2025. Several awards will be given in recognition of exceptional research, innovative ideas, and impactful presentations. For more details on the award categories and selection process, please visit ie2025.fraunhofer.de/awards.

Edge computing is more and more used for running machine learning algorithms to assist IoT (Internet of Things) tasks such as video analytics, compression, anomaly detections, privacy preservation, and others. On the other hand, edge computing is often resource constrained, challenging training and inference phases of machine learning algorithms.In this talk, we will discuss Federated …

In the past decade, there has been significant progress in private space development, commonly referred to as NewSpace. One of the most notable advancements is the deployment of satellite constellations, with numerous small satellites being placed in low Earth orbit (LEO) to support communication and remote sensing applications. Looking ahead, it is anticipated that CPS …

Large-scale distributed machine learning training networks are increasingly facing scaling problems with respect to FLOPS per deployed compute node. Communication bottlenecks can inhibit the effective utilization of expensive GPU resources. The root cause of these performance problems is not insufficient transmission speed or slow servers; it is the structure of the distributed computing and the …

Join us as we officially begin the main conference of IE2025, following two days of dynamic workshops. This session will highlight the central themes of the conference and outline what lies ahead. Hear welcoming remarks from the organizers and gain insight into the key topics that will shape the coming days.

This morning’s opening will set the tone for a day filled with engaging talks and discussions. Let’s make the most of this concluding day together.