Exploring Deep Learning for Efficient and Reliable Mobile Sensing
in Special Issue Posted on August 17, 2017Information for the Special Issue
| Submission Deadline: | Fri 01 Dec 2017 |
| Journal Impact Factor : | 8.808 |
| Journal Name : | IEEE Network |
| Journal Publisher: |
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| Website for the Special Issue: | http://www.comsoc.org/netmag/cfp/exploring-deep-learning-efficient-and-reliable-mobile-sensing |
| Journal & Submission Website: | http://www.comsoc.org/netmag |
Special Issue Call for Papers:
Submission Deadline: December 1, 2017
First Reviews Due: February 28, 2018
Notification of Acceptance: April 30, 2018
Final Manuscripts Due: May 31, 2018
Publication: July 2018
We solicit papers in a variety of topics presenting the current development and addressing the challenges in DLMS. Topics of interest include, but are not limited to, the following:
Deep learning algorithms tailored to mobile devices
Deep learning algorithms requiring limited set of data
Deep learning algorithms for highly heterogeneous data
Mobile runtime support for deep learning models
Energy efficient design and development for DLMS
New edge computing architectures and implementations for DLMS
Privacy concerns and security policies for DLMS
DLMS applications, services and systems
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