[hpc-announce] International Workshop on ML for Edge-Cloud Systems (ML4ECS) 2025 : Call for Papers

[Nikos Bellas]

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International Workshop on ML for Edge-Cloud Systems (ML4ECS) 2025 : Call for Papers
held in conjunction with HiPEAC 2025, Barcelona, Spain, Jan. 22nd, 2025

https://urldefense.us/v3/__https://ml4ecs.e-ce.uth.gr/__;!!G_uCfscf7eWS!cPZScSuYsEhN9e1QmH74O0MRaCpwXQraJ9buc17CFNoPSaqQselebLHuqt-7kaAx3ApM8T3JCaN3saIMsoUbTBFrUQ$ 

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    Paper Submissions
       October 30 (23.59 AoE)
       atEasychair  <https://urldefense.us/v3/__https://easychair.org/account2/signin?l=5931990768992700507__;!!G_uCfscf7eWS!cPZScSuYsEhN9e1QmH74O0MRaCpwXQraJ9buc17CFNoPSaqQselebLHuqt-7kaAx3ApM8T3JCaN3saIMsoXtvV8_5w$ >
    
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Autonomic end-to-end system management across the cloud-edge continuum 
is becoming increasingly critical as computational demands, scale, 
dynamics, and system heterogeneity grow rapidly. /Machine Learning for 
Edge-Cloud Systems (ML4ECS)/ is a full-day workshop that focuses on 
academic and industrial innovation and research on developing and 
deploying AI/ML models to enable optimized system management and 
application execution on the continuum.

The workshop aims to bring together a community of researchers and 
practitioners who study problems at the intersection of ML, Edge-Cloud 
continuum, distributed and dependable system operation, and flexible, 
adaptive, and resilient application deployment. It seeks to reach 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.

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The workshop invites *the research community to submit expressions of 
interest to provide a talk based on an extended abstract format* 
focusing on topics such as (but not limited to):

  * ML models to improve overall system performance metrics (such as
    latency, throughput, energy dissipation, use of green energy,
    security, etc.) across the Edge-Cloud continuum.
  * ML models for efficient and transparent pooling of edge resources,
    seamless integration with cloud and edge infrastructures, resource
    configuration optimization, multi-level orchestration, workload
    migration, security, and anomaly detection.
  * Privacy-preserving decentralized learning mechanisms and adaptive
    networking services.
  * Learning mechanisms for sustainable computing with lower carbon
    intensity in Edge-Cloud operations.
  * ML-based Open-source tools and frameworks for large-scale
    experimentation in edge systems.
  * Multi-cluster, multi-domain environments and applications.
  * Network communication and optimization across resource-restricted
    edge environments.
  * AI/ML-enabled tools and mechanisms in resource-constrained environments.
  * AI/ML-based Joint orchestration of cross-layer data (network,
    compute, data resources).

Papers will be evaluated by the workshop’s technical program committee 
based on the quality of the submission, its relevance to the workshop’s 
topics, and its potential to ignite discussions about future directions, 
and solutions related to the mentioned topics. We welcome research 
papers, case studies, and position papers, as well as demos.

Moreover, we will organize panel discussions at the end of each 
technical session to allow for more comprehensive exploration of complex 
topics and drive active participation from the audience through Q&As.

The workshop will present a Best Talk award, sponsored by the HE CODECO 
<https://urldefense.us/v3/__https://he-codeco.eu/__;!!G_uCfscf7eWS!cPZScSuYsEhN9e1QmH74O0MRaCpwXQraJ9buc17CFNoPSaqQselebLHuqt-7kaAx3ApM8T3JCaN3saIMsoVC0dlZGQ$ > project.

There will be no formal proceedings of the workshop. The authors are 
free to include the content of the extended abstract in a paper 
submitted to a journal or conference with proceedings. The presentations 
will be made publicly available via this website and/or HiPEAC.

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