We invite abstracts for Posters, Workshops, and Presentations in the following categories:
Real-World Success Stories: Edge AI in Action
We seek compelling case studies of successful edge AI deployments across industries. These sessions will showcase:
- Impact-driven solutions in healthcare, industrial automation, automotive, and consumer applications.
- Scaling edge AI from prototypes to production, highlighting key challenges and best practices.
- Lessons learned from deploying AI in constrained environments.
Edge AI for Sustainability & Energy Efficiency
How can edge AI contribute to a more sustainable and energy-efficient future? This track explores:
- Decarbonizing edge AI – strategies to reduce its environmental impact.
- Quantifying energy savings from AI deployments at the edge.
- Reducing the carbon footprint through smarter model design and optimization.
Edge AI Tooling & Development Frameworks
We invite insights on advancing edge AI development through tools, software, and best practices:
- Bridging Edge AI and Cloud AI – DevOps for seamless connectivity.
- AI model compilers & optimization frameworks for efficiency.
- Memory management, profiling, debugging, and resource mapping in constrained devices.
- MLOps for Edge AI – ensuring optimal use of resources – robust, scalable, and maintainable deployments.
Next-Generation Sensors for Edge AI
Exploring how multimodal sensor technology fuels Edge AI growth:
- Contextual sensing: making sense of the world through smarter sensors.
- Sensor and resource management for efficiency and longevity.
Edge Generative AI: Expanding the Possibilities
As Generative AI moves to the edge, we invite discussions on:
- Use cases, applications, and enabling technologies that make edge Gen AI viable.
- Tools, frameworks, and methodologies for efficient model execution.
- Synthetic data generation and personalization through edge Gen AI.
Standardization in Edge AI
How do we bring uniformity to software, hardware, and data formats in edge AI? Key topics include:
- Standardized power management and benchmarking.
- Efforts in OS standardization for edge AI devices.
- Data formats and interoperability across different platforms.
- Bridging the gap: Cloud devOPS to edge
Security & Privacy in Edge AI
Securing edge AI models, data, and IP is a growing concern. We seek contributions on:
- Model IP security and watermarking to protect proprietary AI models.
- Data privacy and out-of-norm data detection.
- Spoofing detection and adversarial model attacks in edge deployments
Agentic Edge AI
As AI systems evolve from passive models to autonomous agents, this track explores how agentic intelligence transforms edge computing. We seek contributions on:
- On-device decision-making and adaptive reasoning in dynamic environments.
- Multi-agent coordination for distributed sensing, robotics, or IoT systems.
- Human-in-the-loop frameworks for controllable, trustworthy agents.
- Lightweight planning, memory, and self-improving behaviors at the edge.
Other Topics Related to Edge AI
Interested in presenting a topic not listed here? Let us know!
SUBMIT YOUR ABSTRACT HERE
Important dates:
- Abstract due Dec 1,2025
- Author notification Dec 19, 2025
- Event is held March 24 – 26 in San Diego
Contact information:
cfp@edgeaifoundation.org