Privacy-preserving Data Federation for Trainable, Queryable and Actionable Data
Author:
Affiliation:
1. Ubitech Limited,Privacy-Preserving Distributed Machine Learning Department,Limassol,Cyprus
Funder
European Commission
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10148090/10148105/10148142.pdf?arnumber=10148142
Reference27 articles.
1. Fully Homomorphic Encryption for Secure Computations in Protected Database
2. Fully Homomorphic Encryption without Modulus Switching from Classical GapSVP
3. (Leveled) Fully Homomorphic Encryption without Bootstrapping
4. Cpp-elm: cryptographically privacy-preserving extreme learning machine for cloud systems;ferhat özgür çatak;International Journal of Computational Intelligence Systems,2018
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1. Enhanced Privacy and Security Maintenance to Preserve BigData using Cipher Policy;2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC);2023-10-11
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