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SenSys-ML 2020 : SenSys-ML 2020: Workshop on Machine Learning on Edge in Sensor Systems

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Link: https://sensysml.github.io/index
 
When Apr 21, 2020 - Apr 21, 2020
Where Sydney, Australia
Abstract Registration Due Jan 7, 2020
Submission Deadline Jan 14, 2020
Notification Due Feb 1, 2020
Final Version Due Feb 14, 2020
Categories    machine learning   sensor networks   artificial intelligence   internet of things
 

Call For Papers

The second Workshop on Machine Learning on Edge in Sensor Systems (SenSys-ML) focuses on work that combines sensor signals from the physical world with machine learning, particularly in ways that are distributed to the device or use edge and fog computing. The development and deployment of ML at the very edge remains a technological challenge constrained by computing, memory, energy, network bandwidth and data privacy and security limitations. This is especially true for battery operated devices and always-on use cases and applications. This workshop will provide a forum for sensing, networking and machine learning researchers to present and share their latest research on building machine learning enabled sensor systems. Sensys-ML focuses on providing extensive feedback on Work In Progress papers involving machine learning (TinyML/ UltraML) on sensor systems.

Workshop Topics
Topics of interest include, but are not limited to, the following:
Advancement in Hardware for enabling TinyML capabilities at the edge
System Architecture for supporting TinyML and UltraML
Parallel and Distributed Machine Learning for Sensor and Network systems
Machine Learning driven Data Analytics
System and Algorithm co-design for practical TinyML at Sensor Systems
Security and Privacy at the Edge
Video Analytics at the Edge
Validation and debugging of TinyML and UltraML
Emerging Sensing Applications using TinyML
Important Dates
Paper Abstract Submission: 7th January 2020 AoE (8th January, 2020 7:59:59am EDT on submission website)
Paper Full Submission: 14th January 2020 AoE (15th January, 2020 7:59:59am EDT on submission website)
Notification of Paper Acceptance: 1st February 2020
Camera-Ready: 14th February, 2020
Workshop Date: 21st April 2020
Submission Guidelines
Submitted papers must be unpublished and must not be currently under review for any other publication. There are two submission tracks:

Full papers, which will be eligible for publication at most 6 single-spaced 8.5” x 11” pages with 9-pt font size in two-column format, including figures and tables and references. All submissions must use the LaTeX (preferred) or Word styles found here. LaTeX submissions should use the acmart.cls template (sigconf option), with the 9-pt font, make sure to use \documentclass[9pt, sigconf]{acmart} in your document. This format will be used also for the camera-ready version of accepted papers. Papers must include authors names and affiliations for single-blind peer reviewing by the PC. Papers that do not meet the size, formatting, and anonymization requirements will not be reviewed. We require each paper to be in Adobe Portable Document Format (PDF) and submitted through the Sensys-ML HoTCRP submission site. Accepted papers will be published in the ACM Digital Library. At least one of the authors of every accepted paper must register and present the paper at the workshop. The program committee will elect one paper for the Best Paper Award.
Work In Progress, which is a presentation-only format. We request a 1 single spaced 8.5” x 11” page abstract submission. Please note that these submissions will not be published as this is a presentation-only format.

Related Resources

ICML 2020   37th International Conference on Machine Learning
SenSys-ML 2019   Machine Learning on Edge in Sensor Systems
ICDMML 2020   【EI SCOPUS】2020 International Conference on Data Mining and Machine Learning
MNLP 2020   4th IEEE Conference on Machine Learning and Natural Language Processing
IJCAI 2020   International Joint Conference on Artificial Intelligence
Sensys 2019   17th ACM Conference on Embedded Networked Sensor Systems
ISBDAI 2020   【Ei Compendex Scopus】2020 International Symposium on Big Data and Artificial Intelligence
AICA 2020   O'Reilly AI Conference San Jose
IEEE-CVIV 2020   2020 2nd International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2020)
MAAIDL 2020   Springer Book 'Malware Analysis using Artificial Intelligence and Deep Learning'