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Federated Machine Learning: Concept and Applications

Federated Machine Learning: Concept and Applications

13 February 2019
Qiang Yang
Yang Liu
Tianjian Chen
Yongxin Tong
    FedML
ArXivPDFHTML

Papers citing "Federated Machine Learning: Concept and Applications"

50 / 225 papers shown
Title
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
Md. Tanzib Hosain
Asif Zaman
Md. Shahriar Sajid
Shadman Sakeeb Khan
Shanjida Akter
47
0
0
03 May 2025
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
F. Stricker
J. A. Peregrina
D. Bermbach
C. Zirpins
FedML
78
0
0
31 Jan 2025
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Yuchen He
Xiangfeng Wang
CLL
FedML
40
0
0
04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning
  Framework
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
Yuchen He
Chuyun Shen
Xiangfeng Wang
Bo Jin
FedML
32
1
0
04 Nov 2024
On the Impact of Data Heterogeneity in Federated Learning Environments
  with Application to Healthcare Networks
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks
Usevalad Milasheuski
Bernardo Camajori Tedeschini
M. Nicoli
S. Savazzi
OOD
20
5
0
29 Apr 2024
MultiConfederated Learning: Inclusive Non-IID Data handling with
  Decentralized Federated Learning
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
Michael Duchesne
Kaiwen Zhang
Talhi Chamseddine
FedML
34
0
0
20 Apr 2024
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical
  Federated Learning
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning
Marco Arazzi
S. Nicolazzo
Antonino Nocera
FedML
AAML
44
3
0
18 Apr 2024
Fed-CVLC: Compressing Federated Learning Communications with
  Variable-Length Codes
Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes
Xiaoxin Su
Yipeng Zhou
Laizhong Cui
John C. S. Lui
Jiangchuan Liu
FedML
35
1
0
06 Feb 2024
Privacy-preserving quantum federated learning via gradient hiding
Privacy-preserving quantum federated learning via gradient hiding
Changhao Li
Niraj Kumar
Zhixin Song
Shouvanik Chakrabarti
Marco Pistoia
FedML
31
19
0
07 Dec 2023
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
Zhirui Pan
Guangzhong Wang
Zhaoning Li
Lifeng Chen
Yang Bian
Zhongyuan Lai
FedML
32
2
0
12 Oct 2023
Improving Machine Learning Robustness via Adversarial Training
Improving Machine Learning Robustness via Adversarial Training
Long Dang
T. Hapuarachchi
Kaiqi Xiong
Jing Lin
OOD
AAML
38
2
0
22 Sep 2023
Privacy Preservation in Artificial Intelligence and Extended Reality
  (AI-XR) Metaverses: A Survey
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey
Mahdi Alkaeed
Adnan Qayyum
Junaid Qadir
29
16
0
19 Sep 2023
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
39
244
0
20 Jul 2023
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem
Afsana Khan
M. T. Thij
F. Thuijsman
A. Wilbik
FedML
28
2
0
07 Jul 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey
  of Vulnerabilities, Datasets, and Defenses
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
M. Ferrag
Othmane Friha
B. Kantarci
Norbert Tihanyi
Lucas C. Cordeiro
Merouane Debbah
Djallel Hamouda
Muna Al-Hawawreh
K. Choo
25
43
0
17 Jun 2023
BFRT: Blockchained Federated Learning for Real-time Traffic Flow
  Prediction
BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction
Collin Meese
Hang Chen
Syed Ali Asif
Wanxin Li
Chien-Chung Shen
Mark M. Nejad
25
22
0
28 May 2023
Federated Learning over Harmonized Data Silos
Federated Learning over Harmonized Data Silos
Dimitris Stripelis
J. Ambite
FedML
20
2
0
15 May 2023
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based
  Federated Learning
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
Xiaoli Tang
Han Yu
FedML
35
17
0
11 May 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement
  Learning
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning
Hang Xu
Xinghua Qu
Zinovi Rabinovich
26
1
0
24 Apr 2023
Privacy Computing Meets Metaverse: Necessity, Taxonomy and Challenges
Privacy Computing Meets Metaverse: Necessity, Taxonomy and Challenges
Chuan Chen
Yuecheng Li
Zhenpeng Wu
Chengyuan Mai
Youming Liu
Yanming Hu
Zibin Zheng
Jiawen Kang
56
16
0
23 Apr 2023
BadVFL: Backdoor Attacks in Vertical Federated Learning
BadVFL: Backdoor Attacks in Vertical Federated Learning
Mohammad Naseri
Yufei Han
Emiliano De Cristofaro
FedML
AAML
29
11
0
18 Apr 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics
  Aspects
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
Conrad Sanderson
David M. Douglas
Qinghua Lu
43
11
0
17 Apr 2023
Federated and distributed learning applications for electronic health
  records and structured medical data: A scoping review
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review
Siqi Li
Pinyan Liu
G. G. Nascimento
Xinru Wang
F. Leite
...
Daniel Ting
Hamed Haddadi
M. Ong
M. A. Peres
Nan Liu
20
11
0
14 Apr 2023
CEC: Crowdsourcing-based Evolutionary Computation for Distributed
  Optimization
CEC: Crowdsourcing-based Evolutionary Computation for Distributed Optimization
Feng-Feng Wei
Wei Chen
Xiaochun Guo
Bowen Zhao
Sang-Woon Jeon
Jun Zhang
25
0
0
12 Apr 2023
FedPNN: One-shot Federated Classification via Evolving Clustering Method
  and Probabilistic Neural Network hybrid
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid
Polaki Durga Prasad
Yelleti Vivek
V. Ravi
FedML
25
0
0
09 Apr 2023
DPP-based Client Selection for Federated Learning with Non-IID Data
DPP-based Client Selection for Federated Learning with Non-IID Data
Yuxuan Zhang
Chao Xu
Howard H. Yang
Xijun Wang
Tony Q.S. Quek
FedML
39
5
0
30 Mar 2023
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
From Private to Public: Benchmarking GANs in the Context of Private Time
  Series Classification
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
Dominique Mercier
Andreas Dengel
Sheraz Ahmed
AI4TS
20
0
0
28 Mar 2023
Privacy-Preserving Cooperative Visible Light Positioning for
  Nonstationary Environment: A Federated Learning Perspective
Privacy-Preserving Cooperative Visible Light Positioning for Nonstationary Environment: A Federated Learning Perspective
Tiankuo Wei
Sicong Liu
15
1
0
11 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
CADeSH: Collaborative Anomaly Detection for Smart Homes
CADeSH: Collaborative Anomaly Detection for Smart Homes
Yair Meidan
D. Avraham
H. Libhaber
A. Shabtai
19
8
0
02 Mar 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated
  Learning
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning
Van Tuan Tran
Huy Hieu Pham
Kok-Seng Wong
FedML
36
7
0
22 Feb 2023
AutoML in The Wild: Obstacles, Workarounds, and Expectations
AutoML in The Wild: Obstacles, Workarounds, and Expectations
Yuan Sun
Qiurong Song
Xinning Gui
Fenglong Ma
Ting Wang
21
13
0
21 Feb 2023
Vertical Federated Knowledge Transfer via Representation Distillation
  for Healthcare Collaboration Networks
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks
Chung-ju Huang
Leye Wang
Xiao Han
FedML
32
24
0
11 Feb 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation
Semi-decentralized Federated Ego Graph Learning for Recommendation
Liang Qu
Ningzhi Tang
Ruiqi Zheng
Quoc Viet Hung Nguyen
Zi Huang
Yuhui Shi
Hongzhi Yin
FedML
77
51
0
10 Feb 2023
Heterogeneous Federated Knowledge Graph Embedding Learning and
  Unlearning
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning
Xiangrong Zhu
Guang-pu Li
Wei Hu
MU
FedML
27
48
0
04 Feb 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Qun Li
Chandra Thapa
Lawrence Ong
Yifeng Zheng
Hua Ma
S. Çamtepe
Anmin Fu
Yan Gao
FedML
44
10
0
03 Feb 2023
Support Recovery in Sparse PCA with Non-Random Missing Data
Support Recovery in Sparse PCA with Non-Random Missing Data
Hanbyul Lee
Qifan Song
Jean Honorio
26
0
0
03 Feb 2023
Mutual Information Regularization for Vertical Federated Learning
Mutual Information Regularization for Vertical Federated Learning
Tianyuan Zou
Yang Liu
Ya-Qin Zhang
AAML
FedML
32
7
0
01 Jan 2023
Model Segmentation for Storage Efficient Private Federated Learning with
  Top $r$ Sparsification
Model Segmentation for Storage Efficient Private Federated Learning with Top rrr Sparsification
Sajani Vithana
S. Ulukus
FedML
26
5
0
22 Dec 2022
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
Fanxing Liu
Cheng Zeng
Le Zhang
Yingjie Zhou
Qing Mu
Yanru Zhang
Ling Zhang
Ce Zhu
OOD
FedML
AI4TS
31
8
0
19 Dec 2022
AI Security for Geoscience and Remote Sensing: Challenges and Future
  Trends
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends
Yonghao Xu
Tao Bai
Weikang Yu
Shizhen Chang
P. M. Atkinson
Pedram Ghamisi
AAML
38
47
0
19 Dec 2022
Federated Learning with Flexible Control
Federated Learning with Flexible Control
Shiqiang Wang
Jake B. Perazzone
Mingyue Ji
Kevin S. Chan
FedML
28
17
0
16 Dec 2022
Client Selection for Federated Bayesian Learning
Client Selection for Federated Bayesian Learning
Jiarong Yang
Yuan Liu
Rahif Kassab
FedML
38
11
0
11 Dec 2022
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected
  Inverters -- A Bayesian Approach
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach
Pavol Mulinka
Subham S. Sahoo
Charalampos Kalalas
P. H. Nardelli
22
3
0
07 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge
  Integration at Edge
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
Yaxin Luopan
Rui Han
Qinglong Zhang
Chi Harold Liu
Guoren Wang
FedML
26
18
0
04 Dec 2022
SoK: Fully Homomorphic Encryption Accelerators
SoK: Fully Homomorphic Encryption Accelerators
Junxue Zhang
Xiaodian Cheng
Liu Yang
Jinbin Hu
Ximeng Liu
Kai Chen
31
22
0
04 Dec 2022
Federated Learning Attacks and Defenses: A Survey
Federated Learning Attacks and Defenses: A Survey
Yao Chen
Yijie Gui
Hong Lin
Wensheng Gan
Yongdong Wu
FedML
44
29
0
27 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
24
38
0
17 Nov 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and
  Challenges
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Madhura Joshi
Ankit Pal
Malaikannan Sankarasubbu
OOD
AI4CE
FedML
25
93
0
15 Nov 2022
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