Abstract: Various correlations hidden in crowdsourcing annotation tasks bring opportunities to further improve the accuracy of label aggregation. However, these relationships are usually extremely ...

Abstract: Federated learning has recently emerged as a paradigm promising the benefits of harnessing rich data from diverse sources to train high quality models, with the salient features that ...

In system development using Java, processes such as aggregating large amounts of numerical data to find a total or multiplying values according to specific rules occur frequently. In conventional ...