Abstract: In binary optimization problems, where the goal is to find the input $\boldsymbol {x}$ that minimizes a given objective function, Grover adaptive search (GAS) is a well-known quantum ...
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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 ...
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