Blockchain-Supported Federated Learning for Trustworthy Vehicular Networks
Document Type
Conference Proceeding
Source of Publication
2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
Publication Date
12-1-2020
DOI Link
ISBN
9780000000000
Publisher
Institute of Electrical and Electronics Engineers Inc.
Disciplines
Computer Sciences
Keywords
Blockchain, Energy utilization, Machine learning, Network security, Communication efficiency, Consensus methods, Consensus solutions, Lifetime rates, Machine learning methods, Machine learning models, Network devices, Vehicular networks, Data privacy
Scopus ID
Recommended Citation
Otoum, Safa; Ridhawi, Ismaeel Al; and Mouftah, Hussein T., "Blockchain-Supported Federated Learning for Trustworthy Vehicular Networks" (2020). All Works. 712.
https://zuscholars.zu.ac.ae/works/712
Indexed in Scopus
yes
Open Access
no
COinS