Background
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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, and hardware - systems and devices conducive to use in resource-constrained (energy, space, etc.) applications.

Topics
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For this workshop 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 and Distributed Training at the Edge
+ Cyber-Security and Privacy Aspects of Edge Computing
+ DevOps for Deploying and Managing Applications at the Edge
+ Distributed Data and Storage Orchestration and Management
+ Distributed Inference
+ Edge driven HPC, and HPC steered Edge Computing
+ 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
==============================================

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.

For more up-to-date information, paper categories, templates, and links to
submission please visit: https://www.paise.org

Important Dates
===============

February 7th AOE, 2022: Submission deadline.
March 7th, 2022 : Notification of acceptance.
March 15th, 2022: Camera ready papers due.