Differential privacy federated learning privacy protection method and device based on double shuffling devices

The invention provides a differential privacy federated learning privacy protection method and device based on double shuffling devices, and the method specifically comprises the steps: a server generates a control matrix, and transmits the control matrix and a model parameter iterated last time to...

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Bibliographische Detailangaben
Hauptverfasser:	GUO SHANQING, TANG PENG, QI QINGQIANG, LI TONGYAQI, HU CHENGYU, YANG XINGYE
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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