TRANSFER LEARNING OF MACHINE LEARNING MODEL IN DISTRIBUTED NETWORK

A method performed by a first node in a distributed network is provided. The method includes receiving a request from a second node for transfer learning of a machine learning model for a use case. The request includes a description of a local environment and a use case identifier at the second node...

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Bibliographische Detailangaben
Hauptverfasser: BATISTA, Pedro, ELEFTHERIADIS, Lackis, NIKOU, Alexandros, KARAPANTELAKIS, Athanasios, FIKOURAS, Ioannis
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:A method performed by a first node in a distributed network is provided. The method includes receiving a request from a second node for transfer learning of a machine learning model for a use case. The request includes a description of a local environment and a use case identifier at the second node. The method further includes identifying a matching criteria for the local environment of the second node based on the use case. The method further includes determining whether at least one distributed node from a plurality of distributed nodes in the distributed network satisfies at least one of a match or a closest match to the matching criteria.