Research Article
Privacy-Preserving Federated Learning Framework with General Aggregation and Multiparty Entity Matching
Input: federated logistic regression model, results inquirer , and its instance space. | Output: predicted results. | 1: fordo | 2: , respectively, encrypts the data belonging to the characteristics of different participants including CS. | 3: Each participant computes and communicates it to CS. | 4: CS does an aggregate operation and returns it to . | 5: decrypts and gets . | 6: gets predicted results by . | 7: return result . |
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