Abstract
This special section solicits original research and practical contributions which advance the security and privacy of federated learning solutions for industrial IoT applications.
- Title
- Guest Editorial: Security and Privacy of Federated Learning Solutions for Industrial IoT Applications
- Creators
- MOHAMMAD SHOJAFARMithun Mukherjee - Nanjing University of Information Science and Technology, 71127 Nanjing, Jiangsu, China, 210044 (e-mail: mithun.mukherjee@outlook.com)V Piuri - Computer Science, University of Milan, 9304 Milano, Lombardia, Italy, 20122 (e-mail: vincenzo.piuri@unimi.it)Jemal Abawajy - School of Info Technology, Deakin University, 2104 Burwood, Australia, 3125 (e-mail: jemal.abawajy@deakin.edu.au)
- Publication Details
- IEEE transactions on industrial informatics, pp.1-1
- Publisher
- IEEE
- Date published
- 17/11/2021
- Grants
- Marie Curie Global Fellowship, MSCA-IF-GF-2019-839255, European Commission (Belgium, Brussels) - EC
- Identifiers
- 99619966102346
- Academic Unit
- School of Computer Science and Electronic Engineering
- Language
- English
- Resource Type
- Journal article