privateST: a feasible framework for privacy-preserving spatial transcriptomics prediction from histopathology images. [PDF]
Sci RepKim H, Kim M, Han B.
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An integrated privacy preserving data aggregation framework for IoT networks using homomorphic encryption and secure computation. [PDF]
Sci RepQin Q, Yang Y, Lin J, Huang H, Huang Y.
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Threshold-adaptive pruning with multi-key homomorphic encryption for communication-efficient secure federated learning. [PDF]
PLoS OneGuo J, Liu R, Xing J.
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Extending homomorphic algorithms for encrypted text comparison. [PDF]
Sci RepSeco-Aguirre I +3 more
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Secure Data Aggregation with Fully Homomorphic Encryption in Large-Scale Wireless Sensor Networks. [PDF]
Sensors (Basel), 2015 Li X, Chen D, Li C, Wang L.
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Privacy-Preserving and Poisoning-Robust Federated Learning for Industrial IoT. [PDF]
Sensors (Basel)Yin H, Chen C, Zhang J, Yu D, Liu S.
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An Explainable Federated Intrusion Detection Framework for SDN Using Distributed Key Generation and Threshold Homomorphic Encryption. [PDF]
Sensors (Basel)Shamim SM, Kodera Y, Ali MA, Nogami Y.
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FFT-GA-BC<i>:</i> a fused federated transformer genetic algorithm framework with blockchain-secured, differentially private, homomorphically encrypted aggregation for mutation, phenotype, and binary-allele analysis. [PDF]
Front Med (Lausanne)Nasir MU +5 more
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Privacy-Preserving Framework for Multi-Institutional Medical Time-Series Analysis via Homomorphic Encryption: Design and Development Study. [PDF]
JMIR Form ResLu Y +7 more
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Blockchain-enhanced federated learning for IoT security and privacy using the GSR-C2N model. [PDF]
Sci RepAhmad S, Ansari MA, Mewada A, Ahmed G.
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