Hydie George

Scholar9 ID | S9-042025-2611494

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FEDERATED LEARNING MODELS FOR PRIVACY-PRESERVING TEST DATA SHARING ACROSS SEMICONDUCTOR DESIGN ECOSYSTEMS

Journal: International Journal of Computer Sciences and Engineering • March 2023

The semiconductor design industry relies heavily on collaborative innovation, which often necessitates the sharing of sensitive test data across various stakeholders. However, data privacy, intellectu...

Federated learning Privacy-preserving computation Emiconductor design Test data sharing Edge computing Distributed machine learning Secure aggregation Data confidentiality Ai in hardware design

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