Patent ID: 11972861
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. The computer implemented method of claim 1, further comprising updating the training datasets using at least one member of a group comprising of:
(i) inserting a previous outcome of the central ML model as input into at least one of the plurality of remote training datasets for updating training of the respective remote ML model;
(ii) inserting a previous outcome of the main ML model as input into at least one of the plurality of remote training datasets for updating training of the respective remote ML model;
(iii) inserting one or more previous outcomes of one or more remote ML models as input into at least one other remote training datasets for updating training of the respective remote ML model;
(iv) inserting a previous outcome of one or more remote ML models as input into the central training datasets for updating training of the central ML model;
(v) inserting a previous outcome of the main ML model as input into the central training datasets for updating training of the central ML model;
(vi) inserting a previous outcome of the main ML model as current input into the main training datasets for updating training of the main ML model;
(vii) inserting a previous outcome of the respective remote ML model as current input into the respective remote training datasets for updating training of the remote ML model; and
(viii) inserting a previous outcome of the central ML model as current input into the central training datasets for updating training of the central ML model.