[Om-announce] CFP: Special Issue on Privacy Preserved Learning in Distributed Communication Systems, Digital Communications and Networks Journal (Q1 Journal)

[Shui Yu]

Dear friend,



We invite you to submit your research work in the Special Issue (SI) we are
organising with Digital Communications and Networks Journal.

http://www.keaipublishing.com/en/journals/digital-communications-and-networks/call-for-papers/si-on-privacy-preserved-learning-in-distributed/
<https://protect-au.mimecast.com/s/rcAICYW8MBSGWnjBc9Mht4?domain=keaipublishing.com/>



This special issue will feature theoretical foundations and empirical
studies on data privacy in distributed communication systems.
Topics Covered:

Areas of interest include, but are not limited to:

   - Privacy leakage and preservation in mobile/edge/fog computing
   - Privacy leakage and preservation in vehicular/drone networks
   - Privacy leakage and preservation in IoT networks
   - Privacy leakage and preservation in CDN (content distribution
   networks) and ICN (information centric networks)
   - Privacy leakage and preservation for smart internet routing
   - Privacy leakage and preservation in ad-hoc networks
   - Privacy leakage and preservation in location-based services
   - Data poison for learning in distributed systems
   - Embedding federated/distributed learning in distributed communication
   systems
   - Gradient/parameter leakage for learning in distributed systems
   - Differential attacks and other attacks to crack data privacy in
   distributed communication systems
   - Differential privacy mechanism design for distributed communication
   systems
   - Data anonymisation in distributed communication systems
   - Homomorphic encryption and privacy protection for learning in
   distributed communication systems
   - Multi-party computing and privacy protection in distributed
   communication systems
   - Blockchain and privacy protection in distributed communication systems

Important Deadlines (Tentative):

   - Submission deadline: 15 August 2021
   - First notification: 15 October 2021
   - Revised version deadline: 1 December 2021
   - Final notification: 15 February 2022
   - Publication date: April 2022

Submission Instructions:

Please read the Guide for Authors
<https://protect-au.mimecast.com/s/W7ZrCZY1WDcOqkXBFyC50C?domain=keaipublishing.com/>
before
submitting. All articles should be submitted online
<https://protect-au.mimecast.com/s/-l7DC1WL9zSvAPLWIYHl9S?domain=editorialmanager.com>
via
the editorial management system. Please select the option “SI: Privacy and
Learning”.
Guest Editors:

   - Managing Guest Editor: Dr. Yipeng Zhou, Macquarie University,
   Australia. Email: yipeng.zhou at mq.edu.au
   - Dr. Keshav Sood, Deakin University, Australia. Email:
   Keshav.sood at deakin.edu.au
   - Prof. Abderrahim Benslimane, The Avignon University, France. Email:
   abderrahim.benslimane at univ-avignon.fr
   - Prof. Shui Yu, University of Technology Sydney, Australia. Email:
   shui.yu at uts.edu.au

 For more information, please do not hesitate to contact us.  Thanks



Best Regards,

Guest Editors

-- 

-----------------------------

Shui YU, PhD,  Professor

School of Computer Science,

University of Technology Sydney,

Sydney,  Australia.

https://www.uts.edu.au/staff/shui.yu

Email: Shui.Yu at uts.edu.au
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