PAISE 2020

2nd Workshop on Parallel AI and Systems for the Edge

PAISE 2020

Workshop Program

As one of the panelists last year excellently noted, the goal of the workshop is to foster a discussion around somewhat open problems; not presentations on definitive and narrow improvements over existing solutions. After considering all options, unfortunately, we do not see a good way to accomplish this vibrant discussion virtually, across time-zones. PAISE 2020 is hence non-interactive. However, here are the papers selected for this year's workshop, along with the presentation files and videos.

Accepted Papers

  • Paper 1: Analyzing Deep Learning Model Inferences for Image Classification using OpenVINO. (Slides) (Presentation) Zheming Jin, and Hal Finkel.
  • Paper 2: Multiperspective Automotive Labeling.(Slides) (Presentation) Luke Jacobs, Akhil Kodumuri, Jim James, Seongha Park and Yongho Kim.
  • Paper 3: Integrating DOTS With Blockchain Can Secure Massive IoT Sensors.(Slides) (Presentation) Syed Badruddoja, Ram Dantu, Logan Widick, Zachary Zaccagni and Kritagya Upadhyay.
  • Paper 4: Indirect Deconvolution Algorithm.(Slides) (Presentation) Marat Dukhan.
  • Paper 5: Energy-Efficient Machine Learning on the Edges.(Slides) (Presentation) Mohit Kumar, Xingzhou Zhang, Liangkai Liu, Yifan Wang and Weisong Shi.
  • Workshop Organizers