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Privacy-Preserving Technologies in Data
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on privacy-preserving techniques for data analysis and machine learning, including topics such as differential privacy, federated learning, k-anonymity, secure computation, and location privacy. The papers explore methods to protect sensitive information while performing data mining, machine learning, and statistical analysis.
90
Works
IDs:OpenAlex
How has Privacy-Preserving Technologies in Data's publication output changed over time?
ScholarIQpublication output · 2010–2023
Output grew200% over the shown period — from 1 works in 2010 to 3 in 2023.
1
1
1
6
2
1
3
2010201320142020202120222023
What are the most-cited papers on Privacy-Preserving Technologies in Data?
ScholarIQmost cited works
A Clustering Approach for the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>l</mml:mi></mml:mrow></mml:math>-Diversity Model in Privacy Preserving Data Mining Using Fractional Calculus-Bacterial Foraging Optimization Algorithm
Pawan Bhaladhare, Devesh C. Jinwala
Advances in Computer Engineering. 2014275 CitationsOPEN ACCESS
FedProc: Prototypical contrastive federated learning on non-IID data
Xutong Mu, Yulong Shen, Ke Cheng, Xueli Geng, Jiaxuan Fu, Tao Zhang, Zhiwei Zhang
S186357190. 2023235 Citations
Aspects of privacy for electronic health records
Sebastian Haas, Sven Wohlgemuth, Isao Echizen, Noboru Sonehara, Günter Müller
International Journal of Medical Informatics. 2010182 Citations
Review on security of federated learning and its application in healthcare
Hao Li, Chengcheng Li, Jian Wang, Aimin Yang, Zezhong Ma, Zunqian Zhang, Dianbo Hua
S186357190. 2023174 Citations
A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks
Penglin Dai, Kai‐Wen Hu, Xiao Wu, Huanlai Xing, Fei Teng, Zhaofei Yu
S144771191. 2020128 Citations
Where is Privacy-Preserving Technologies in Data research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S186357190409
S144771191173
S7560371120
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Privacy-Preserving Technologies in Data is open access?
ScholarIQopen access share
33%OPEN ACCESS
Gold
13%
Green
7%
Hybrid
13%
Bronze
0%
Closed
67%
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