Encrypted Federated Learning
Encrypted Federated Learning is a federated learning framework that integrates cryptographic encryption techniques to secure model updates during transmission and computation, thereby preserving data privacy while enabling collaborative model training across decentralized clients.
14
Publications
849
Citations
89
Authors
47
Institutions
Publications per year
2017–2026
14
Parents
14
Review on security of federated learning and its application in healthcare
Hao Li, Chengcheng Li, Jian Wang et al. · Future Generation Computer Systems · 2023 · 169 citations
Federated learning in smart cities: Privacy and security survey
Rasha Al-Huthaifi, Tianrui Li, Wei Huang et al. · Information Sciences · 2023 · 140 citations
1–5 of 14
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47

King Saud University
Riyadh, Saudi Arabia
2 h-index
3 publications
158 citations
China Jiliang University
Hangzhou, China
1 h-index
2 publications
186 citations
King Khalid University
Abhā, Saudi Arabia
1 h-index
1 publications
18 citations
Belfast Health and Social Care Trust
Belfast, United Kingdom
1 h-index
3 publications
246 citations
Jinling Institute of Technology
Jiangning, China
1 h-index
1 publications
18 citations

BRAC University
Dhaka, Bangladesh
1 h-index
6 publications
348 citations

University of Science and Technology Beijing
Beijing, China
1 h-index
2 publications
102 citations

Seoul National University of Science and Technology
Seoul, South Korea
1 h-index
1 publications
82 citations
1–8 of 47
1 publications · 17 citations
1
h-index
1 publications · 58 citations
1
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TNSM · 1 publications · 18 citations
1
h-index
1 publications · 140 citations
1
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1 publications · 82 citations
1
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1–5