LODAS 2026 | First International Workshop on Learning and Optimization for Distributed AI Systems
LODAS 2026 (First International Workshop on Learning and Optimization for Distributed AI Systems) is a premier venue for researching efficient, privacy-aware AI in distributed environments, held alongside FLICS 2026 in Valencia, Spain, from June 9–12, 2026. The workshop focuses on addressing real-world constraints such as limited resources, communication efficiency, and security.
Why LODAS 2026?
LODAS 2026 focuses on AI systems that must operate under real-world constraints such as limited resources, privacy requirements, latency bounds, dynamic environments, and distributed data ownership. The workshop brings together research on learning, optimization, and intelligent computing systems that enable AI to function reliably in edge, federated, multi-agent, and cyber-physical settings.
Recent advances in federated learning, evolutionary computation, human-centered AI, foundation models, agentic AI, and edge/cloud intelligence have highlighted a growing gap between model-centric research and system-level deployment realities. This workshop aims to bridge that gap by emphasizing system-aware AI, where learning algorithms, optimization strategies, and architectural decisions are co-designed to meet operational constraints.
We welcome contributions including empirical studies, benchmarks, simulations, and real-world deployments across domains such as IoT, smart cities, healthcare, robotics, and autonomous systems.
Important Dates
All dates follow the FLICS 2026 main conference schedule. Please refer to the main conference website for the most up-to-date timeline.
Note: All dates are synchronized with FLICS 2026. Please check the main conference website for the latest information.
- Submission Deadline: 28-April-2026
- Acceptance Notification: 5-May-2026
- Camera-Ready & Registration: 15-May-2026
- Workshop Dates: 9-12-June-2026
Topics of Interest
- Distributed, Federated, and Edge Learning
- AI Systems, Architectures, and Deployment
- Agentic AI and Autonomous Systems
- Optimization, Scheduling, and System-Level Intelligence
- Applications and Real-World Settings
- Human-Centered and Trustworthy AI
- Foundation Models in Systems Contexts
- EC + ML Methods
- Cyber-Physical Systems, Digital Twins, and IoT
Submission Guidelines
Format Requirements: All submissions must follow the FLICS 2026 submission guidelines and use the conference template. Please consult the main conference website for detailed formatting instructions. Remember to add keywords to your submission.
Submission Portal: Workshop papers must be submitted through the FLICS 2026 EasyChair system. Make sure to select the appropriate workshop track during submission.
- Long Papers (7–8 Pages): Mature research contributions with substantial original work, complete evaluations, and clear contributions to the field.
- Short / Position Papers (4–6 Pages): Work-in-progress, preliminary results, vision papers, or position statements on emerging challenges and opportunities.
- Poster Papers (1–2 Pages): Undergraduate student contributions, early-stage ideas, prototypes, or course/research projects. Great for getting started!
Application and more details: https://jamaltoutouh.github.io/lodas2026/
