DATASET AND MODEL EXCHANGE FOR MACHINE LEARNING PREDICTION

A computer-implemented method includes publishing a prediction task and KPI information. The method further includes receiving, at a certain time, a plurality of prediction results, each of the plurality of prediction results being produced by one of a plurality of participants with one of a private...

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Bibliographische Detailangaben
Hauptverfasser: Pimplikar, Rakesh Rameshrao, Parija, Gyana Ranjan, Roberts, Jill Harsh, Mukherjee, Kushal, Trevisan, Tatiana De Campovilla, Chaudhuri, Ritwik, Parida, Prasant
Format: Patent
Sprache:eng
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Zusammenfassung:A computer-implemented method includes publishing a prediction task and KPI information. The method further includes receiving, at a certain time, a plurality of prediction results, each of the plurality of prediction results being produced by one of a plurality of participants with one of a private model and private data association with the one of the plurality of participants. The method further includes calculating, for each of the plurality of participants, a trade score based on the KPI information and the plurality of prediction results for each of the plurality of participants. The method further includes determining an acquirement score for the one of the private model and the private data associated with each of the plurality of participants using the corresponding trade score. The method further includes publishing the acquirement score for trading the one of the private model and the private data among the plurality of participants.