Full Papers
Original research contributions with substantial technical depth and experimental validation.
Machine Learning/CORE Unranked
ODI 2026
On-Device Intelligence: Foundation Models under Real-World Constraints
ODI 2026 is a NeurIPS 2026 workshop focused on On-Device Intelligence, exploring foundation models under real-world constraints such as limited compute, memory, and energy. The workshop aims to bring together researchers working on efficient AI systems that can operate directly on edge devices.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Concise presentations of promising ideas, early results, or system demonstrations.
Research areas in scope
01
Topics
Efficient inference and training on edge devicesModel compression and quantization for on-device AIFederated and decentralized learning on edge networksHardware-aware neural architecture searchReal-time AI with low latency and power constraintsOn-device personalization and privacy-preserving AIBenchmarking and evaluation of on-device modelsEdge AI for robotics, healthcare, and IoT applications
Policies worth checking twice
- Submissions must be anonymized for double-blind review
- Papers must not be under review at another conference or journal during submission
- Authors may not submit substantially similar work to multiple venues simultaneously
- All submissions must include an AI-use statement detailing the role of generative AI tools in the research process
- Camera-ready versions must adhere to the official NeurIPS 2026 formatting guidelines
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026