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. 2011.09350
  4. Cited By
Asymmetric Private Set Intersection with Applications to Contact Tracing
  and Private Vertical Federated Machine Learning

Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning

18 November 2020
Nick Angelou
Ayoub Benaissa
Bogdan Cebere
William Clark
A. Hall
Michael A. Hoeh
Daniel Liu
Pavlos Papadopoulos
Robin Roehm
R. Sandmann
Phillipp Schoppmann
Tom Titcombe
ArXivPDFHTML

Papers citing "Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning"

14 / 14 papers shown
Title
Secure Visual Data Processing via Federated Learning
Secure Visual Data Processing via Federated Learning
Pedro Santos
Tânia Carvalho
Filipe Magalhães
Luís Antunes
FedML
54
0
0
09 Feb 2025
Multi-client Functional Encryption for Set Intersection with
  Non-monotonic Access Structures in Federated Learning
Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning
Ruyuan Zhang
Jinguang Han
62
0
0
12 Dec 2024
TabVFL: Improving Latent Representation in Vertical Federated Learning
TabVFL: Improving Latent Representation in Vertical Federated Learning
Mohamed Rashad
Zilong Zhao
Jérémie Decouchant
Lydia Y. Chen
FedML
26
0
0
27 Apr 2024
Personalised Federated Learning On Heterogeneous Feature Spaces
Personalised Federated Learning On Heterogeneous Feature Spaces
A. Rakotomamonjy
Maxime Vono
H. M. Ruiz
L. Ralaivola
FedML
18
8
0
26 Jan 2023
A Survey on Heterogeneous Federated Learning
A Survey on Heterogeneous Federated Learning
Dashan Gao
Xin Yao
Qian Yang
FedML
22
58
0
10 Oct 2022
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative
  Multi-Modal Brain Tumor Segmentation
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
H. Roth
Ali Hatamizadeh
Ziyue Xu
Can Zhao
Wenqi Li
Andriy Myronenko
Daguang Xu
FedML
29
9
0
22 Aug 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous
  Intelligence in Internet of Things: State of the Art and Future Directions
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions
Qiang Duan
Shijing Hu
Ruijun Deng
Zhihui Lu
FedML
23
61
0
20 Jul 2022
Secure Embedding Aggregation for Federated Representation Learning
Secure Embedding Aggregation for Federated Representation Learning
Jiaxiang Tang
Jinbao Zhu
Songze Li
Lichao Sun
FedML
19
0
0
18 Jun 2022
Multi-VFL: A Vertical Federated Learning System for Multiple Data and
  Label Owners
Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners
Vaikkunth Mugunthan
P. Goyal
Lalana Kagal
FedML
16
9
0
10 Jun 2021
Syft 0.5: A Platform for Universally Deployable Structured Transparency
Syft 0.5: A Platform for Universally Deployable Structured Transparency
A. Hall
Madhava Jay
Tudor Cebere
Bogdan Cebere
K. V. D. Veen
...
Animesh Gupta
Jason Paumier
Nahua Kang
V. Manannikov
Andrew Trask
FedML
24
7
0
26 Apr 2021
Practical Defences Against Model Inversion Attacks for Split Neural
  Networks
Practical Defences Against Model Inversion Attacks for Split Neural Networks
Tom Titcombe
A. Hall
Pavlos Papadopoulos
Daniele Romanini
FedML
17
58
0
12 Apr 2021
PyVertical: A Vertical Federated Learning Framework for Multi-headed
  SplitNN
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
Daniele Romanini
A. Hall
Pavlos Papadopoulos
Tom Titcombe
Abbas Ismail
Tudor Cebere
R. Sandmann
Robin Roehm
Michael A. Hoeh
FedML
MU
13
90
0
01 Apr 2021
Privacy and Trust Redefined in Federated Machine Learning
Privacy and Trust Redefined in Federated Machine Learning
Pavlos Papadopoulos
Will Abramson
A. Hall
Nikolaos Pitropakis
William J. Buchanan
23
42
0
29 Mar 2021
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
164
2,575
0
28 Mar 2008
1