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Secure Federated Transfer Learning

Secure Federated Transfer Learning

8 December 2018
Yang Liu
Yan Kang
Chaoping Xing
Tianjian Chen
Qiang Yang
    FedML
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Papers citing "Secure Federated Transfer Learning"

29 / 29 papers shown
Title
Mutual Information Regularization for Vertical Federated Learning
Mutual Information Regularization for Vertical Federated Learning
Tianyuan Zou
Yang Liu
Ya-Qin Zhang
AAML
FedML
40
7
0
01 Jan 2023
Production federated keyword spotting via distillation, filtering, and
  joint federated-centralized training
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training
Andrew Straiton Hard
Kurt Partridge
Neng Chen
S. Augenstein
Aishanee Shah
...
Sara Ng
Jessica Nguyen
Ignacio López Moreno
Rajiv Mathews
F. Beaufays
FedML
24
14
0
11 Apr 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
35
12
0
03 Mar 2022
Batch Label Inference and Replacement Attacks in Black-Boxed Vertical
  Federated Learning
Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning
Yang Liu
Tianyuan Zou
Yan Kang
Wenhan Liu
Yuanqin He
Zhi-qian Yi
Qian Yang
FedML
AAML
19
19
0
10 Dec 2021
Federated Multi-Target Domain Adaptation
Federated Multi-Target Domain Adaptation
Chun-Han Yao
Boqing Gong
Huayu Chen
Qi
Yukun Zhu
Ming-Hsuan Yang
OOD
FedML
11
63
0
17 Aug 2021
Citadel: Protecting Data Privacy and Model Confidentiality for
  Collaborative Learning with SGX
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX
Chengliang Zhang
Junzhe Xia
Baichen Yang
Huancheng Puyang
Wei Wang
Ruichuan Chen
Istemi Ekin Akkus
Paarijaat Aditya
Feng Yan
FedML
53
39
0
04 May 2021
Device Sampling for Heterogeneous Federated Learning: Theory,
  Algorithms, and Implementation
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang
Mengyuan Lee
Seyyedali Hosseinalipour
Roberto Morabito
M. Chiang
Christopher G. Brinton
FedML
85
110
0
04 Jan 2021
Towards open and expandable cognitive AI architectures for large-scale
  multi-agent human-robot collaborative learning
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning
Georgios Th. Papadopoulos
M. Antona
C. Stephanidis
AI4CE
25
24
0
15 Dec 2020
Distributed Machine Learning for Wireless Communication Networks:
  Techniques, Architectures, and Applications
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications
Shuyan Hu
Xiaojing Chen
Wei Ni
Ekram Hossain
Xin Wang
AI4CE
50
111
0
02 Dec 2020
Pocket Diagnosis: Secure Federated Learning against Poisoning Attack in
  the Cloud
Pocket Diagnosis: Secure Federated Learning against Poisoning Attack in the Cloud
Zhuo Ma
Jianfeng Ma
Yinbin Miao
Ximeng Liu
K. Choo
R. Deng
FedML
20
32
0
23 Sep 2020
Hybrid Differentially Private Federated Learning on Vertically
  Partitioned Data
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data
Chang Wang
Jian Liang
Mingkai Huang
Bing Bai
Kun Bai
Hao Li
FedML
23
39
0
06 Sep 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine
Privacy-preserving Artificial Intelligence Techniques in Biomedicine
Reihaneh Torkzadehmahani
Reza Nasirigerdeh
David B. Blumenthal
T. Kacprowski
M. List
...
Harald H. H. W. Schmidt
A. Schwalber
Christof Tschohl
Andrea Wohner
Jan Baumbach
26
60
0
22 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A
  Software Engineering Perspective
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
Sin Kit Lo
Qinghua Lu
Chen Wang
Hye-Young Paik
Liming Zhu
FedML
48
83
0
22 Jul 2020
The OARF Benchmark Suite: Characterization and Implications for
  Federated Learning Systems
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
Sixu Hu
Yuan N. Li
Xu Liu
Yue Liu
Zhaomin Wu
Bingsheng He
FedML
18
54
0
14 Jun 2020
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated
  Learning
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning
Renuga Kanagavelu
Zengxiang Li
J. Samsudin
Yechao Yang
Feng Yang
Rick Siow Mong Goh
Mervyn Cheah
Praewpiraya Wiwatphonthana
K. Akkarajitsakul
Shangguang Wang
FedML
17
88
0
25 May 2020
Federated Generative Adversarial Learning
Federated Generative Adversarial Learning
Chenyou Fan
Ping Liu
GAN
FedML
34
40
0
07 May 2020
Federated Extra-Trees with Privacy Preserving
Federated Extra-Trees with Privacy Preserving
Yang Liu
Mingxi Chen
Wenxi Zhang
Junbo Zhang
Yu Zheng
FedML
28
3
0
18 Feb 2020
FedVision: An Online Visual Object Detection Platform Powered by
  Federated Learning
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Yang Liu
Anbu Huang
Yu Luo
He Huang
Youzhi Liu
Yuanyuan Chen
Lican Feng
Tianjian Chen
Hang Yu
Qiang Yang
FedML
27
299
0
17 Jan 2020
Quantifying the Performance of Federated Transfer Learning
Quantifying the Performance of Federated Transfer Learning
Qinghe Jing
Weiyan Wang
Junxue Zhang
Han Tian
Kai Chen
FedML
24
24
0
30 Dec 2019
Proof of Federated Learning: A Novel Energy-recycling Consensus
  Algorithm
Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm
Xidi Qu
Shengling Wang
Qin Hu
Xiuzhen Cheng
FedML
34
102
0
26 Dec 2019
A Communication Efficient Collaborative Learning Framework for
  Distributed Features
A Communication Efficient Collaborative Learning Framework for Distributed Features
Yang Liu
Yan Kang
Xinwei Zhang
Liping Li
Yong Cheng
Tianjian Chen
Mingyi Hong
Qiang Yang
FedML
22
75
0
24 Dec 2019
Private Federated Learning with Domain Adaptation
Private Federated Learning with Domain Adaptation
Daniel W. Peterson
Pallika H. Kanani
Virendra J. Marathe
FedML
21
81
0
13 Dec 2019
Practical Federated Gradient Boosting Decision Trees
Practical Federated Gradient Boosting Decision Trees
Yue Liu
Zeyi Wen
Bingsheng He
FedML
AI4CE
29
187
0
11 Nov 2019
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data
Sabri Boughorbel
Fethi Jarray
Neethu Venugopal
S. Moosa
Haithum Elhadi
Michel Makhlouf
OOD
FedML
31
51
0
27 Oct 2019
Real-World Image Datasets for Federated Learning
Real-World Image Datasets for Federated Learning
Jiahuan Luo
Xueyang Wu
Yu Luo
Anbu Huang
Yunfeng Huang
Yang Liu
Qiang Yang
FedML
25
97
0
14 Oct 2019
Federated User Representation Learning
Federated User Representation Learning
D. Bui
Kshitiz Malik
Jack Goetz
Honglei Liu
Seungwhan Moon
Anuj Kumar
Kang G. Shin
FedML
30
63
0
27 Sep 2019
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for
  Electroencephalography
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography
Dashan Gao
Ce Ju
Xiguang Wei
Yang Liu
Tianjian Chen
Qiang Yang
FedML
22
87
0
11 Sep 2019
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using
  Federated XGBoost
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost
Mengwei Yang
Linqi Song
Jie Xu
Congduan Li
Guozhen Tan
FedML
29
30
0
16 Jul 2019
Federated Forest
Federated Forest
Yang Liu
Yingting Liu
Zhijie Liu
Junbo Zhang
Chuishi Meng
Yu Zheng
FedML
19
144
0
24 May 2019
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