Characterizing privacy in quantum machine learning

Abstract Ensuring data privacy in machine learning models is critical, especially in distributed settings where model gradients are shared among multiple parties for collaborative learning. Motivated by the increasing success of recovering input data from the gradients of classical models, this stud...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:npj Quantum Information
المؤلفون الرئيسيون: Jamie Heredge, Niraj Kumar, Dylan Herman, Shouvanik Chakrabarti, Romina Yalovetzky, Shree Hari Sureshbabu, Changhao Li, Marco Pistoia
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Nature Portfolio 2025-05-01
الوصول للمادة أونلاين:https://doi.org/10.1038/s41534-025-01022-z