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Entity Resolution and Federated Learning get a Federated Resolution

Entity Resolution and Federated Learning get a Federated Resolution

11 March 2018
Richard Nock
Stephen Hardy
Wilko Henecka
Hamish Ivey-Law
Giorgio Patrini
Guillaume Smith
Brian Thorne
    FedML
ArXivPDFHTML

Papers citing "Entity Resolution and Federated Learning get a Federated Resolution"

16 / 16 papers shown
Title
Robust and IP-Protecting Vertical Federated Learning against Unexpected
  Quitting of Parties
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties
Jingwei Sun
Zhixu Du
Anna Dai
Saleh Baghersalimi
Alireza Amirshahi
David Atienza
Yiran Chen
FedML
16
7
0
28 Mar 2023
Distributed and Deep Vertical Federated Learning with Big Data
Distributed and Deep Vertical Federated Learning with Big Data
Ji Liu
Xuehai Zhou
L. Mo
Shilei Ji
Yuan Liao
Zhu Li
Qinhua Gu
Dejing Dou
FedML
24
17
0
08 Mar 2023
Federated learning: Applications, challenges and future directions
Federated learning: Applications, challenges and future directions
Subrato Bharati
Hossain Mondal
Prajoy Podder
V. B. Surya Prasath
FedML
39
53
0
18 May 2022
Vertical Federated Principal Component Analysis and Its Kernel Extension
  on Feature-wise Distributed Data
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data
Y. Cheung
Juyong Jiang
F. Yu
Jian Lou
FedML
32
12
0
03 Mar 2022
DVFL: A Vertical Federated Learning Method for Dynamic Data
DVFL: A Vertical Federated Learning Method for Dynamic Data
Yuzhi Liang
Yixiang Chen
FedML
29
1
0
05 Nov 2021
A Vertical Federated Learning Framework for Graph Convolutional Network
A Vertical Federated Learning Framework for Graph Convolutional Network
Xiang Ni
Xiaolong Xu
Lingjuan Lyu
Changhua Meng
Weiqiang Wang
FedML
19
36
0
22 Jun 2021
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
24
9
0
10 Jun 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
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned
  Data
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
Runhua Xu
Nathalie Baracaldo
Yi Zhou
Ali Anwar
J. Joshi
Heiko Ludwig
FedML
13
75
0
05 Mar 2021
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
Nick Angelou
Ayoub Benaissa
Bogdan Cebere
William Clark
A. Hall
...
Pavlos Papadopoulos
Robin Roehm
R. Sandmann
Phillipp Schoppmann
Tom Titcombe
19
27
0
18 Nov 2020
Privacy-Preserving Asynchronous Federated Learning Algorithms for
  Multi-Party Vertically Collaborative Learning
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning
Bin Gu
An Xu
Zhouyuan Huo
Cheng Deng
Heng-Chiao Huang
FedML
38
27
0
14 Aug 2020
SplitNN-driven Vertical Partitioning
SplitNN-driven Vertical Partitioning
Iker Ceballos
Vivek Sharma
Eduardo Mugica
Abhishek Singh
Alberto Roman
Praneeth Vepakomma
Ramesh Raskar
23
72
0
07 Aug 2020
Cloud-based Federated Boosting for Mobile Crowdsensing
Cloud-based Federated Boosting for Mobile Crowdsensing
Zhuzhu Wang
Yilong Yang
Yang Liu
Ximeng Liu
B. Gupta
Jianfeng Ma
FedML
8
13
0
09 May 2020
Multi-Participant Multi-Class Vertical Federated Learning
Multi-Participant Multi-Class Vertical Federated Learning
Siwei Feng
Han Yu
FedML
24
88
0
30 Jan 2020
Secure Federated Transfer Learning
Secure Federated Transfer Learning
Yang Liu
Yan Kang
Chaoping Xing
Tianjian Chen
Qiang Yang
FedML
6
119
0
08 Dec 2018
No Peek: A Survey of private distributed deep learning
No Peek: A Survey of private distributed deep learning
Praneeth Vepakomma
Tristan Swedish
Ramesh Raskar
O. Gupta
Abhimanyu Dubey
SyDa
FedML
30
99
0
08 Dec 2018
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