Machine Learning for Edge-Cloud Systems (ML4ECS)

Website: https://ml4ecs.e-ce.uth.gr/ Organizers: MLSysOps: Nikolaos Bellas (University of Thessaly, Greece), Raffaele Gravina (University of Calabria, Italy) EDGELESS: Claudio Cicconetti (CNR, Italy), Jesús Omaña Iglesias (Telefónica, Spain) CODECO: Rute C. SOFIA (fortiss GmbH, Germany) The second edition of the Machine Learning for Edge-Cloud Systems (ML4ECS) workshop will be jointly organized by three Horizon Europe projects: CODECO, Edgeless, and MLSysOps. This collaborative event will highlight cutting-edge research and innovation in ML-based, autonomic end-to-end system management and application deployment and execution across the IoT-Edge-Cloud continuum—an area of growing importance due to the increasing complexity of such systems. The workshop focuses on the research outcomes of the three organizing projects. Key topics include machine learning (ML) models to improve efficiency, reduce latency, and enhance performance across the edge-cloud continuum, integration with edge and cloud systems, optimization, security, and privacy-preserving decentralized learning. The workshop will feature: Technical sessions showcasing the latest research outcomes and practical use cases from the three organizing projects, A keynote speech by a prominent expert in the field, and An interactive discussion panel addressing future challenges and opportunities in ML-driven optimizations of system functionality across IoT-Edge-Cloud environments. The ML4ECS workshop aims to bridge academic and industrial perspectives, fostering dialogue and collaboration on deploying machine learning models to enable intelligent, adaptive, and efficient system and application management throughout the IoT-Edge-Cloud continuum.