Method and apparatus for training machine learning (ml) applications with a network training platform

An apparatus for a network training platform for sharing data between machine learning (ML) applications, comprising:

• a memory storing instructions;
• and
• at least one processor configured to, when executing the instructions, cause the apparatus to perform operations comprising:
• receiving a request to register a first ML application with the network training platform, wherein the request comprises first one or more parameters corresponding related to the first ML application;
• identifying at least one second ML application registered with the network training platform based on the first one or more parameters;
• identifying second one or more parameters related to the at least one second ML application;
• comparing the first one or more parameters with the second one or more parameters related to the at least one second ML application;
• and
• sharing, with the first ML application, predicted data corresponding to the at least one second ML application based on the comparing.

A non-transitory computer readable storage medium storing instructions which, when executed by at least one processor of an apparatus for a network training platform for sharing data between machine learning (ML) applications, cause the apparatus to perform operations, the operations comprising:

• receiving a request to register a first ML application with the network training platform, wherein the request comprises first one or more parameters related to the first ML application;
• identifying at least one second ML application registered with the network training platform based on the first one or more parameters;
• identifying second one or more parameters related to the at least one second ML application;
• comparing the first one or more parameters with the second one or more parameters related to the at least one second ML application;
• and
• sharing, with the first ML application, predicted data corresponding to the at least one second ML application based on the comparing.