ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2309.13002
  4. Cited By
Expressive variational quantum circuits provide inherent privacy in
  federated learning

Expressive variational quantum circuits provide inherent privacy in federated learning

22 September 2023
Niraj Kumar
Jamie Heredge
Changhao Li
Shaltiel Eloul
Shree Hari Sureshbabu
Marco Pistoia
    FedML
ArXivPDFHTML

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

5 / 5 papers shown
Title
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks
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
24
0
0
17 Apr 2025
Des-q: a quantum algorithm to provably speedup retraining of decision trees
Des-q: a quantum algorithm to provably speedup retraining of decision trees
Niraj Kumar
Romina Yalovetzky
Changhao Li
Pierre Minssen
Marco Pistoia
24
4
0
03 Jan 2025
Exponentially Many Local Minima in Quantum Neural Networks
Exponentially Many Local Minima in Quantum Neural Networks
Xuchen You
Xiaodi Wu
36
40
0
06 Oct 2021
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for
  Federated Learning
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning
Hanchi Ren
Jingjing Deng
Xianghua Xie
SILM
AAML
FedML
27
74
0
02 May 2021
The Future of Digital Health with Federated Learning
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
144
1,349
0
18 Mar 2020
1