What it takes to operationalize entities and schema across large organizations, without breaking governance or increasing technical debt.
Optimizing the Numbers of Queries and Replies in Convex Federated Learning With Differential Privacy
Abstract: Federated learning (FL) empowers distributed clients to collaboratively train a shared machine learning model through exchanging parameter information. Despite the fact that FL can protect ...
Abstract: Among various sensor array configurations, the L-shaped nested array offers improved performance for 2-D direction-of-arrival (DOA) estimation through co-array processing. However, ...
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