System and method for providing decentralized computing resources

A method for performing decentralized training of a machine learning model or inference using the machine learning model, the method comprising, using a main processor:

• extracting a task gist from a task of training of a machine learning model or inference using the machine learning model;
• obtaining available computing power of each of a plurality of computing devices, wherein each of the plurality of computing devices comprises a code execution environment that enables interface with a computer network;
• dividing the task gist into one or more portions, and assigning each portion to one of the plurality of computing devices such that each portion is executable by the code execution environment of the assigned computing device using the available computing power of the assigned computing device;
• transferring each portion to the assigned computing device to be executed by the code execution environment of the assigned computing device;
• and
• obtaining results of the execution of the one or more portions from the assigned computing devices.

A system for training of a machine learning model or inference using the machine learning model, the system comprising:

• a memory;
• and
• a processor configured to:
• select, from a plurality of computing devices, one or more computing devices, each of which having available computing power and comprising a readymade runtime environment that enables interface with a computer network;
• divide a translated task into one or more portions, wherein the translated task comprises a task gist extracted from a task of training of a machine learning model or inference using the machine learning model;
• transfer one portion of the one or more portions to each of the selected computing devices to be executed by the readymade runtime environment of each of the respective computing devices;
• and
• obtain results of the execution of the one or more portions of the translated task from the selected computing devices.