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/
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@mq.edu.au
- Dr. Keshav Sood, Deakin University, Australia. Email:
Keshav.sood@deakin.edu.au
- Prof. Abderrahim Benslimane, The Avignon University, France. Email:
abderrahim.benslimane@univ-avignon.fr
- Prof. Shui Yu, University of Technology Sydney, Australia. Email:
shui.yu@uts.edu.au
For more information, please do not hesitate to contact us.