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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Published in | 2019 IEEE Conference on Dependable and Secure Computing (DSC) pp. 1 - 8 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.11.2019
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Subjects | |
Online Access | Get full text |
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