PAISE 2021 - 3rd Workshop on Parallel AI and Systems for the Edge

Applications involving voluminous data but needing low-latency computation and local feedback require that the computing be performed as close to the data source as possible - often at the interface to the physical world. Given the growth in such application scenarios and the recent advances in computing hardware, algorithms and techniques, machine learning and inference at the edge are unfolding and growing at a rapid pace. The resulting diversity in edge-computing hardware and software framework in terms of capabilities, architectures, and programming models poses several new challenges. The goal of this workshop is to gather the community working in three broad areas:
processing: artificial intelligence, computer vision, machine learning
management: parallel and distributed programming models for resource-constrained and domain-specific hardware, containers, remote resource management, DevOps, runtime-system design and cyber-security
hardware: systems and devices conducive for applications to be used in resource-constrained (e.g., low-energy, space) environments.
Topics
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We welcome original work covering three broad topics including Edge AI/ML and Data, Edge Architecture and Practice. In particular, we welcome work and discussions on:
- Adaptive Training Sampling
- AI Enabled IoT Applications at the Edge
- Collaborative Training at the Edge
- Cyber-Security and Privacy Aspects of Edge Computing
- DevOps for Deploying and Managing Applications at the Edge
- Edge Data and Storage Management
- Edge Inference Edge driven HPC, and HPC steered Edge Computing
- Efficiency Edge-cloud Data Orchestration
- Enabling SDN NFV at the Edge Energy
- Efficient Processors for Training and Inference
- Hardware for Edge-computing and Machine Learning
- Opportunities for Edge Computing driven by WiFi-Cellular (5G/WiFi6) Convergence
- Programming Models for Edge Computing
- Software and Hardware Multitenancy at the Edge
Paper Submission, Paper Style, and Proceedings
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All papers must be original and not simultaneously submitted to another journal
or conference. The papers submitted to the workshop will be peer reviewed by a
minimum of 3 reviewers.
The following paper categories are welcome:
- Full Papers: Research papers should describe original work and be 6 - 8 pages in
length. The papers will be presented as 20 min talks.
- Short Papers: Short research papers, 4 or 5 pages in length, should contain enough information for the program committee to understand the scope of the project and evaluate the novelty of the problem or approach. The papers will be presented as 15 min talks.
- Concept Papers and Practitioner Reports: Short papers, reports and extended abstracts 2 - 3 pages in length. These papers can describe new concepts, emerging hardware and Software platforms, DevOps and Management of IoT/Edge, including initial proof-of-concept design and implementation are
welcome. Reports may also focus on a particular aspect of technology usage in
practice, or describe broad project experiences. They may describe a particular
design idea, or experience with a particular piece of technology. The papers
will be presented as 8-10 min lightning-talks.
For more up-to-date information and links to submission please visit: https://www.paise.org
Important Dates
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- February 7th AOE, 2021: Submission deadline.
- March 11th, 2021: Notification of acceptance.
- March 15th, 2021: Camera ready papers due.
- May 21st, 2021: Workshop.