[Last CFP-Extended] LODAS 2026 - Learning & Optimization for Distributed AI Systems @ FLICS 2026 (Valencia, June 9-12)

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Dear colleagues,
Apologies for any cross-posting.

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*LAST CALL FOR PAPERS (EXTENDED)*

LODAS 2026 - The 1st International Workshop on Learning and Optimization 
for Distributed AI Systems
Co-located with FLICS 2026 (Valencia, Spain, June 9-12, 2026)

Submission deadline (EXTENDED): *MAY 5, 2026*

Workshop website: https://jamaltoutouh.github.io/lodas2026/
Conference website: https://flics-conference.org/

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SCOPE
======================================

LODAS 2026 brings together researchers working at the intersection
of learning and optimization for distributed AI systems, including edge,
federated, and resource-constrained environments.


Topics of interest include (but are 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

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SUBMISSION INFORMATION
======================================

Submission via EasyChair (see workshop website)

* Format: IEEE A4 conference template

Paper types:
* Long papers: 7–8 pages
* Short/position papers: 4–6 pages
* Poster papers (undergraduate): 1–2 pages

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IMPORTANT DATES
======================================

* Submission deadline: May 5, 2026 (FINAL EXTENDED)
* Notification: May 10, 2026
* Camera-ready & registration: May 20, 2026
* Workshop: June 9–12, 2026 (exact date TBA)

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ORGANIZING COMMITTEE
======================================

* Jamal Toutouh – Universidad de Málaga, Spain ([email protected])
* Gabriel Luque – Universidad de Málaga, Spain ([email protected])
* Diego Daniel Pedroza-Perez – Universidad de Málaga, Spain 
([email protected])

We strongly encourage you to submit your latest work.

We would also appreciate it if you could share this call with interested 
colleagues.

Best regards,
LODAS 2026 Organizing Team

https://jamaltoutouh.github.io/lodas2026/
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