Federated-Cloud Based Deep Neural Networks with Privacy Preserving Image Filtering Techniques

Training Deep Neural Network (DNN) models often require significant computational resources due to the large dataset sizes and a huge number of parameters to be optimized. A cloud-based approach may be utilized to accommodate such resource needs with flexibility and efficiency. But, protecting data...

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Bibliographic Details
Published in2019 IEEE Conference on Dependable and Secure Computing (DSC) pp. 1 - 8
Main Authors Choi, Isabelle, Song, Qiyang, Sun, Kun
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2019
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