TASK-DRIVEN PRIVACY-PRESERVING DATA-SHARING FOR DATA SHARING ECOSYSTEMS

Abstract: task-driven privacy-preserving data-sharing concepts are described. in one example, a method can include obtaining distilled data that respectively corresponds to multiple entities and is representative of local data of each of the multiple entities. the distilled data can be latent representations that are desensitized to defined data features in the local data. the method can also include learning a similarity between a first entity and at least one second entity of the multiple entities with respect to a defined task service based on first distilled data of the first entity and second distilled data of each of the at least one second entity. the method can also include selecting one or more data values from the second distilled data based on the similarity. the method can also include providing the data value(s) to the first entity for implementation of the defined task service based on the data value(s).

Inventor(s): Ismini Lourentzou, Ran Jin

CPC Classification: G06F21/6218 ({to a system of files or objects, e.g. local or distributed file system or database})

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