Sharing and executing custom machine learning algorithms

A computer program product for managing a machine learning algorithm, the computer program product comprising:

• one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions comprising:
• receiving, by a first device of a plurality of computing devices, a first algorithm;
• and
• updating the first algorithm, to create a second algorithm, by a first device of the plurality of computing devices, wherein the first device is grouped with other devices in a first cluster of devices of the plurality of computing devices, wherein the first cluster of computing devices comprises more than one computing device, and wherein updating the first algorithm is performed based on information shared amongst the first cluster of devices.

A computer system for managing a machine learning algorithm, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable storage devices, and program instructions stored on at least one of the one or more computer-readable storage devices for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, the program instructions comprising:
• receiving, by a first device of a plurality of computing devices, a first algorithm;
• and
• updating the first algorithm, to create a second algorithm, by a first device of the plurality of computing devices, wherein the first device is grouped with other devices in a first cluster of devices of the plurality of computing devices, wherein the first cluster of computing devices comprises more than one computing device, and wherein updating the first algorithm is performed based on information shared amongst the first cluster of devices.