Data Processing Method and System, and Computing Device

A system, comprising:

• a first computing participant having a first identifier (ID);
• a second computing participant comprising at least one second ID;
• a memory, configured to store instructions;
• and
• at least one processor coupled to the memory, wherein when executed by the at least one processor, the instructions cause the system to:
• separately obtain, using the first computing participant and the second computing participant, first ciphertext data, wherein the first ciphertext data indicates whether the first ID is an intersection ID, and wherein the intersection ID indicates that the first ID is the same as any one of the at least one second ID;
• obtain, using the second computing participant and from the first computing participant, a first share of a first feature value corresponding to the first ID, wherein the first share is from sharing the first feature value between the first computing participant and the second computing participant in a first secret sharing mode, and wherein the first feature value is restorable based on a second share of the first feature value that is from each of the first computing participant and the second computing participant;
• obtain, using the first computing participant, second data, wherein the second data is a third share of a second feature value that is in the second computing participant and that corresponds to the first ID when the first ID is the intersection ID, wherein the second data is a random number when the first ID is not the intersection ID, wherein the third share is from sharing the second feature value between the first computing participant and the second computing participant in a second secret sharing mode, and wherein the second feature value is restorable based on a fourth share of the second feature value that is from each of the first computing participant and the second computing participant;
• and
• when the first ciphertext data indicates that the first ID is the intersection ID:
• use, using the first computing participant, the second data and a fifth share of the first feature value that is held by the first computing participant as training data of a neural network;
• and
• use, using the second computing participant, a sixth share of the first feature value and a seventh share of the second feature value that are held by the second computing participant as the training data.

A computer program product comprising computer-executable instructions that are stored on a non-transitory computer-readable storage medium and that, executed by at least one processor cause a system to:

• separately obtain, using a first computing participant and a second computing participant, first ciphertext data, wherein the first ciphertext data indicates whether a first identifier (ID) of the first computing participant is an intersection ID, and wherein the intersection ID indicates that the first ID is the same as any one of at least one ID of the second computing participant;
• obtain, by the second computing participant from the first computing participant, a first share of a first feature value corresponding to the first ID, wherein the first share is from sharing the first feature value between the first computing participant and the second computing participant in a first secret sharing mode, and wherein the first feature value is restorable based on a second share of the first feature value that is from each of the first computing participant and the second computing participant;
• obtain, using the first computing participant, second data, wherein the second data is a third share of a second feature value that is in the second computing participant and that corresponds to the first ID when the first ID is the intersection ID, wherein the second data is a random number when the first ID is not the intersection ID, wherein the third share is from sharing the second feature value between the first computing participant and the second computing participant in a second secret sharing mode, and wherein the second feature value is restorable based on a fourth share of the second feature value that is from each of the first computing participant and the second computing participant;
• and
• when the first ciphertext data indicates that the first ID is the intersection ID:
• use, using the, first computing participant, the second data and a fifth share of the first feature value that is held by the first computing participant as training data of a neural network;
• and
• use, using the second computing participant, a sixth share of the first feature value and a seventh share of the second feature value that are held by the second computing participant as the training data.