[hpc-announce] AIChallengeIoT 2020 - Call for Papers | Deadline: 18 Sept 2020

[SensysML Workshop]

Dear Colleagues,

We are inviting submissions to the *2nd International Workshop on
Challenges in Artificial Intelligence and Machine Learning for Internet of
Things (AIChallengeIoT 2020 <https://aichallengeiot.github.io/>) *which
will be held in conjunction with ACM SenSys 2020
<http://sensys.acm.org/2020/> on November 16, 2020.


We invite researchers and practitioners to submit *papers describing
original work, experiences, or vision* related to the entire lifecycle of
an IoT system powered by AI and ML, including (but not limited to) the
following topics:

   - AI/ML in multi-agent, distributed, and decentralized settings
   - AI/ML on low-powered and/or intermittently connected devices
   - AI/ML with noisy and possibly adversarial data and labels
   - Algorithms and techniques for evolving from a new system that is
   initially trained with only a small amount of data
   - Algorithms and techniques for making use of data collected by
   geographically dispersed sensors to provide useful services through AI/ML
   - Algorithms and techniques for reducing human effort in data labeling,
   including active learning
   - Algorithms and techniques for sharing data and training AI/ML models
   while preserving user sensitive information, including federated learning
   - Design and implementation of AI/ML-powered IoT systems
   - Hardware, software, and tools for AI/ML in IoT
   - IoT applications enabled by AI/ML
   - Privacy and security of AI/ML in IoT


Submissions focusing on specific IoT applications and generic IoT systems
are both welcome. We specifically encourage papers with forward-looking
ideas that may initiate new research directions. We solicit the following
types of submissions:

   - *Regular papers* describing novel research work or experiences, up to
   6 pages including figures and tables, but not including references
   (references can use additional pages as needed), which will be presented at
   the workshop as oral presentation
   - *Vision/position papers* describing new research directions and
   challenges, up to 4 pages including figures, tables, and references, which
   will be presented at the workshop as a short oral presentation followed by
   interactive discussions


Submitted papers should be previously unpublished and not currently under
review by another conference or journal. All accepted regular papers and
vision/position papers will be published in the conference proceedings and
the ACM Digital Library.


All submissions should use the double column ACM proceedings format. The
ACM template is available at:
https://www.acm.org/publications/proceedings-template. LaTeX submissions
should use the acmart.cls template (sigconf option), with the default 9-pt
font. This format will be used also for the camera-ready version of
accepted regular and vision/position papers. The submissions should include
authors’ names and affiliations (i.e., *not* be double-blind). Submissions
will be reviewed by the program committee for novelty, relevance, and
quality. At least one of the authors of every accepted paper/presentation
must register and present the work at the workshop. Submissions should be
in Adobe Portable Document Format (PDF).


*The link for submission is:* https://aichallengeiot20.hotcrp.com/
Important Dates

   - Abstract Registration: September 11, 2020 (11:59 pm anywhere on earth
   (UTC -12))
   - Paper Submission: September 18, 2020 (11:59 pm anywhere on earth (UTC
   -12))
   - Notification of Paper Acceptance: October 9, 2020
   - Camera-Ready: October 16, 2020
   - Workshop date: November 16, 2020


Best Regards,
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Organizing committee

   - Shiqiang Wang
   <https://researcher.watson.ibm.com/researcher/view.php?person=us-wangshiq>
(IBM
   T. J. Watson Research Center, USA)
   - Poonam Yadav <https://poonamyadav.net/> (University of York, UK)
   - Ludmila (Lucy) Cherkasova
   <http://www.jahrhundert.net/lucy_cherkasova.html> (ARM Research, USA)
   - Valerie Liptak
<https://www.linkedin.com/in/valerie-liptak-b0854b12/> (Amazon,
   USA)
   - Jorge Ortiz <http://jorgeortizphd.info/> (Rutgers University, USA)
   - Shaswot Shresthamali <https://www.linkedin.com/in/shaswot-sm/> (The
   University of Tokyo)
   - Mani Srivastava <https://www.ee.ucla.edu/mani-srivastava/> (University
   of California, Los Angeles, USA)
   - Vinesh Sukumar <https://www.linkedin.com/in/vineshsukumar/> (Intel,
   USA)