Fine-tuning an ai model

A computer program product for a distributed system comprising first computer systems which are configured to connect to at least one second computer system of the distributed system, the computer program product comprising a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code configured to perform a method comprising:

• determining, by a specific first computer system of the first computer systems, a need to fine-tune a first artificial intelligence model for performing a specific task;
• performing a federated learning for a set of trained second artificial intelligence models for generating a combined artificial intelligence model, the set of trained second artificial intelligence models being configured to perform the specific task, each second artificial intelligence model having a structure that is at least a substructure of the first artificial intelligence model;
• and
• using learnable parameters of the combined artificial intelligence model for fine-tuning, at the specific first computer system, the first artificial intelligence model.

A computer system for a distributed system comprising first computer systems which are configured to connect to at least one second computer system of the distributed system, the computer system comprising one or more computer-readable storage media configured to store computer program code, and one or more computer processors configured to access said computer program code and operate as instructed by said computer program code, said computer program code being configured for:

• determining a need to fine-tune a first artificial intelligence model for performing a specific task;
• performing a federated learning for a set of trained second artificial intelligence models for generating a combined artificial intelligence model, the second artificial intelligence models being configured to perform the specific task, each second artificial intelligence model having a structure which is at least a substructure of the first artificial intelligence model;
• and
• using learnable parameters of the combined artificial intelligence model for fine-tuning the first artificial intelligence model.