[Om-announce] CFP: Special Issue on Privacy Preserved Learning in Distributed Communication Systems/ Digital Communications and Networks Journal
Shui Yu
shuiyucfp at gmail.com
Wed Aug 18 12:48:17 CEST 2021
Dear friend,
Greetings!
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/-QiHCL7EPlF4mzJMiBbOUm?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: 31 August 2021 (extended)
- 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/D6AhCMwG9mHWRnQVhkLhy5?domain=keaipublishing.com/>
before
submitting. All articles should be submitted online
<https://protect-au.mimecast.com/s/pIRhCNLJ8nfXEg25ij-CTh?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
--
-----------------------------
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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