Electronic device and method for split learning, and electronic device and method for model splitting

An electronic device for split learning, comprising:

• at least one processor;
• and
• at least one memory including computer program code, where the at least one memory and the computer program code are configured, with the at least one processor, to cause the electronic device to:
• receive split information for split learning from a base station, wherein the split information is generated by the base station based on the following determining:
• the base station determines, based on a channel state of a link between users which is related to a sidelink, one or more of learning users participating in the split learning, a participation order for the learning users, and a communication link between each of the learning users and a downstream learning user thereof for client model transferring;
• and
• perform the split learning based on the split information.

An electronic device for model split of a neural network model, comprising:

• at least one processor;
• and
• at least one memory including computer program code, where the at least one memory and the computer program code are configured, with the at least one processor, to cause the electronic device to:
• determine a current path for the model split based on a calculating state and a communication state of entities, wherein the current path comprises:
• a split point of the neural network model, split entities which participate in the model split to execute a part of respective parts of the neural network model corresponding to the split point, and a participation order of the split entities;
• and
• determine, when path switching is to be performed, a target path as a path to which the model split is to be switched, such that the model transferring between the current path and the target path is preferentially carried out through a sidelink.