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

Portland, Oregon USA
Event Date: May 21, 2021 - May 21, 2021
Submission Deadline: Feb 07, 2021
Notification of Acceptance: Mar 11, 2021
Camera Ready Version Due : Mar 15, 2021


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. Communication constraints and the need for privacy-preserving approaches also dictate the need for computing at the edge. Given the growth in such application scenarios and the recent advances in algorithms and techniques, machine learning and inference at the edge are unfolding and growing at a rapid pace. In support of these applications, a wide range of hardware (CPUs, GPUs, ASICs) is venturing farther away from the center and enabling computation closer to the physical world, often at the interface to the physical world.

Call For Paper

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 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

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