We will organize the EdgeGen – PhD Intensive Course on Generative Edge Intelligence, which is a five-day, in-person PhD Intensive Course organized under the Nordic University Cooperation on Edge Intelligence and hosted by the University of Helsinki, Finland. The course brings together leading researchers, industry experts, and PhD students working at the intersection of Edge AI, distributed systems, networking, machine learning, and Generative AI. The program is designed to provide participants with both foundational knowledge and exposure to cutting-edge research directions in Generative Edge Intelligence.
The course combines keynote-style lectures, technical sessions, hands-on laboratory exercises, and interactive discussions covering topics such as edge intelligence architectures, resource-constrained ML, federated and distributed learning, efficient inference for generative models, collaborative edge–cloud intelligence, trustworthy and explainable AI, privacy and security in Generative AI systems, and future research directions in AI-native networking and 6G systems. Particular emphasis is placed on understanding how generative models can be efficiently adapted, optimized, and orchestrated across heterogeneous edge infrastructures while satisfying constraints related to latency, energy efficiency, reliability, and privacy.
The program features internationally recognized researchers including James Gross from KTH, James Kwok from HKUST, Shiqiang Wang from University of Exeter, Roberto Morabito from Eurecom, Praveen Kumar Donta from Stockholm University, and Sasu Tarkoma from University of Helsinki, who will deliver lectures and lead interactive discussions and practical sessions throughout the school. Participants will engage in hands-on activities involving profiling and optimizing edge inference pipelines, deploying compressed generative models on constrained hardware, simulating distributed and collaborative AI systems, and exploring Generative AI for networking and intelligent edge systems. A social event is scheduled on the third evening to foster networking and collaboration. A social event will also be scheduled to foster networking and collaboration. Designed for PhD students, early-career researchers, and professionals interested in distributed intelligent systems and next-generation AI infrastructures, EdgeGen provides a unique platform to explore how Generative AI can move beyond centralized cloud environments toward scalable, trustworthy, and resource-aware edge-native intelligence systems capable of supporting the next generation of intelligent applications.
Participation is free but spots are limited – don’t miss your chance to be part of this exciting initiative at the intersection of Generative AI and edge computing!
To apply, please visit:
Full details of course contents will be published soon.
We hope to welcome you to Helsinki this summer!