Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...
astro-graph is the successor of mxGraph which is now end of life. At first, we will keep the same feature with mxGraph and add some types support. We don't support Typescript, but there is a project ...
Abstract: Because of the different start times and the different update periods of local sensors, asynchronous measurements are ubiquitous in multisensor fusion systems. Therefore, it is urgent to ...
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