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Abstract: Handling uncertain gradient descent directions poses a critical challenge in privacy-preserving federated learning (FL) systems under Gaussian differential privacy (GDP). Classical ...
The local misorientation and orientation gradient development near grain boundaries (GBs) are analyzed in a deep drawing quality steel sheet (AKDQ) subjected to interrupted tensile tests in a notched ...
Abstract: With the rapid development of Internet technology, using the Internet to transmit medical images has gradually become an efficient and convenient transmission method. It improves the ...
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