Machine learning performance abstraction

A first device, comprising:

• at least one processor;
• and
• at least one memory storing instructions that, when executed by the at least one processor, cause the first device at least to:
• transmit, to a second device, a first abstraction request for at least one performance of a machine learning entity provided by the first device, the machine learning entity used for a third device;
• and
• receive, from the second device, a first abstraction report comprising at least one index of the at least one performance, the at least one index being understandable by the third device.

A second device, comprising:

• at least one processor;
• and
• at least one memory storing instructions that, when executed by the at least one processor, cause the second device at least to:
• receive, from one of a first device or a third device, an abstraction request for at least one performance of a machine learning entity provided by the first device, the machine learning entity used for the third device;
• determine at least one index of the at least one performance, the at least one index being understandable by the third device;
• and
• transmit, to a corresponding one of the first device or the third device, an abstraction report comprising the at least one index of the at least one performance.

A third device, comprising:

• at least one processor;
• and
• at least one memory storing instructions that, when executed by the at least one processor, cause the third device at least to:
• transmit, to one of a first device or a second device, an abstraction request for at least one performance of a machine learning entity provided by the first device, the machine learning entity used for the third device;
• and
• receive, from a corresponding one of the first device or the second device, an abstraction report comprising the at least one index of the at least one performance, the at least one index being understandable by the third device.