Autonomic end-to-end system management across the cloud-edge continuum is becoming increasingly critical as computational demands, scale, dynamics, and system heterogeneity rapidly grow. The Machine Learning for Edge-Cloud Systems (ML4ECS) workshop is a full-day event that focuses on academic and industrial innovation and research in developing and deploying AI/ML models to enable optimized system management and application execution across the continuum.
The workshop aims to bring together a community of researchers and practitioners who study problems at the intersection of ML, the edge-cloud continuum, distributed and dependable system operation, and flexible, adaptive, and resilient application deployment. It seeks to engage a broader community invested in this fast-evolving field, aiming to increase awareness of ongoing initiatives, encourage collaboration, and promote the open exchange of ideas.
Date
22.01.2025 (full day)
Location
HiPEAC 2025 Konferenz
Palau de Congressos at Fira de Barcelona
Barcelona
Language
English
Participation fee
See Registration
Target group
The event is targeted in particular at scientists and engineers.
Organization
- Chair: Nikolaos Bellas (University of Thessaly, EL, and MLSysOps)
- Rute C. Sofia (fortiss GmbH and HE CODECO Coordinator)
- Raffaele Gravina (University of Calabria, IT, and MLSysOps)
More information
Call for papers - HiPEAC 2025 workshop
Agenda
Tbd.