Expressive variational quantum circuits provide inherent privacy in federated learning

22 September 2023

Papers citing "Expressive variational quantum circuits provide inherent privacy in federated learning"

6 / 6 papers shown

Title
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Georgios Papadopoulos Shaltiel Eloul Yash Satsangi Jamie Heredge Niraj Kumar Chun-Fu Chen Marco Pistoia 51 0 0 17 Apr 2025
Des-q: a quantum algorithm to provably speedup retraining of decision trees Niraj Kumar Romina Yalovetzky Changhao Li Pierre Minssen Marco Pistoia 51 5 0 03 Jan 2025
Privacy-preserving quantum federated learning via gradient hiding Changhao Li Niraj Kumar Zhixin Song Shouvanik Chakrabarti Marco Pistoia FedML 22 19 0 07 Dec 2023
Exponentially Many Local Minima in Quantum Neural Networks Xuchen You Xiaodi Wu 69 51 0 06 Oct 2021
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning Hanchi Ren Jingjing Deng Xianghua Xie SILM AAML FedML 50 100 0 02 May 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,705 0 18 Mar 2020