Apologies for any cross-posting.
This is the second call for papersfor theLODAS 2026 – The 1st
International Workshop on Learning and Optimization for Distributed AI
Systems <https://jamaltoutouh.github.io/lodas2026/>, co-located with
theFLICS 2026 Conference <https://flics-conference.org/>to be held in
Valencia, Spain, June 9–12, 2026.
*
Workshop
website: https://jamaltoutouh.github.io/lodas2026/
*
Conference website: https://flics-conference.org/
Scope
Modern AI systems must operate in distributed and resource-constrained
environments. LODAS 2026 aims to bring together researchers working at
the intersection of learning and optimization to address challenges in
scalability, reliability, and efficiency for distributed AI systems.
We welcome contributions addressing (but not limited to):
*
Federated, distributed, and edge learning
*
Communication-efficient and resource-aware AI
*
Multi-objective and constrained optimization
*
Workflow scheduling and system-level optimization
*
Agentic AI and autonomous multi-agent systems
*
Foundation models under system constraints
*
Trustworthy, privacy-preserving, and robust AI
*
Cyber-physical systems, IoT, and digital twins
Submission Information
*
Submission site:via EasyChair (details on theworkshop website
<https://jamaltoutouh.github.io/lodas2026/>)
*
Formatting:IEEE A4 Manuscript Templates for Conference Proceedings
*
Paper types:
o
Long papers: 7–8 pages (research contributions)
o
Short/position papers: 4–6 pages (work-in-progress or visionary
ideas)
o
Poster papers (undergraduate): 1–2 pages
Important Dates
*
Submission deadline:April 21, 2026
*
Notification of acceptance:May 5, 2026
*
Camera-ready & registration:May 15, 2026
*
Workshop dates:June 9–12, 2026 (exact date/time to be announced)
Organizing Committee
*
Jamal Toutouh – University of Málaga, Spain
*
Gabriel Luque – University of Málaga, Spain
*
Diego Daniel Pedroza-Perez – University of Málaga, Spain
We warmly encourage you to submit your latest work and to share this
call with colleagues and relevant mailing lists.
Best regards,LODAS 2026 Workshop Organizing
Teamhttps://jamaltoutouh.github.io/lodas2026/
<https://jamaltoutouh.github.io/lodas2026/>
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