Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...

Abstract: In the big data era, to solve algorithm engineers' problems of complex data analysis and low development efficiency, “low-code” platforms emerged. The Intelligent Simplification and ...

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A maze is a type of puzzle involving a collection of paths, usually where a player has to find a route from start to finish. A huge variety of algorithms exist for generating and solving mazes. These ...