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.