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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 / 236 papers shown
Title
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
Watermarking in Secure Federated Learning: A Verification Framework
  Based on Client-Side Backdooring
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring
Wenyuan Yang
Shuo Shao
Yue Yang
Xiyao Liu
Ximeng Liu
Zhihua Xia
Gerald Schaefer
Hui Fang
FedML
14
21
0
14 Nov 2022
Towards federated multivariate statistical process control (FedMSPC)
Towards federated multivariate statistical process control (FedMSPC)
Du Nguyen Duy
David Gabauer
Ramin Nikzad‐Langerodi
19
3
0
03 Nov 2022
Wind Power Forecasting Considering Data Privacy Protection: A Federated
  Deep Reinforcement Learning Approach
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach
Yang Li
Ruinong Wang
Yuanzheng Li
Meng Zhang
Chao Long
21
176
0
02 Nov 2022
Federated Averaging Langevin Dynamics: Toward a unified theory and new
  algorithms
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms
Vincent Plassier
Alain Durmus
Eric Moulines
FedML
21
6
0
31 Oct 2022
Federated Fuzzy Neural Network with Evolutionary Rule Learning
Federated Fuzzy Neural Network with Evolutionary Rule Learning
Leijie Zhang
Ye-ling Shi
Yu-Cheng Chang
Chin-Teng Lin
FedML
26
15
0
26 Oct 2022
FedGraph: an Aggregation Method from Graph Perspective
FedGraph: an Aggregation Method from Graph Perspective
Zhifang Deng
Xiaohong Huang
Dandan Li
Xueguang Yuan
FedML
30
0
0
06 Oct 2022
Federated Graph-based Networks with Shared Embedding
Federated Graph-based Networks with Shared Embedding
Tianyi Yu
Pei-Ci Lai
Fei Teng
FedML
34
3
0
03 Oct 2022
VFLens: Co-design the Modeling Process for Efficient Vertical Federated
  Learning via Visualization
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization
Y. Tian
He Wang
Laixin Xie
Xiaojuan Ma
Quan Li
FedML
13
1
0
02 Oct 2022
Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial
  Intelligence, and Blockchain: Survey and Their Convergence
Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial Intelligence, and Blockchain: Survey and Their Convergence
Yitong Wang
Jun Zhao
19
47
0
28 Sep 2022
Federated Transfer Learning with Multimodal Data
Federated Transfer Learning with Multimodal Data
Yulian Sun
FedML
21
4
0
05 Sep 2022
Non-readily identifiable data collaboration analysis for multiple
  datasets including personal information
Non-readily identifiable data collaboration analysis for multiple datasets including personal information
A. Imakura
T. Sakurai
Yukihiko Okada
Tomoya Fujii
Teppei Sakamoto
Hiroyuki Abe
FedML
22
10
0
31 Aug 2022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning
  Enabling Technologies
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies
Adam Thelen
Xiaoge Zhang
Olga Fink
Yan Lu
Sayan Ghosh
B. Youn
Michael D. Todd
S. Mahadevan
Chao Hu
Zhen Hu
SyDa
AI4CE
27
188
0
26 Aug 2022
Adaptive Resource Allocation in Quantum Key Distribution (QKD) for
  Federated Learning
Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning
R. Kaewpuang
Minrui Xu
Dusit Niyato
Han Yu
Zehui Xiong
X. Shen
24
12
0
24 Aug 2022
FedMCSA: Personalized Federated Learning via Model Components
  Self-Attention
FedMCSA: Personalized Federated Learning via Model Components Self-Attention
Qianling Guo
Yong Qi
Saiyu Qi
Di Wu
Qian Li
FedML
21
9
0
23 Aug 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
37
9
0
22 Aug 2022
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy
  Synthesizing Network
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network
Jingcai Guo
Song Guo
Jie Zhang
Ziming Liu
FedML
25
15
0
21 Aug 2022
Private, Efficient, and Accurate: Protecting Models Trained by
  Multi-party Learning with Differential Privacy
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy
Wenqiang Ruan
Ming Xu
Wenjing Fang
Li Wang
Lei Wang
Wei Han
37
12
0
18 Aug 2022
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized
  Federated Learning with Heterogeneous Data
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data
Xin Zhang
Minghong Fang
Zhuqing Liu
Haibo Yang
Jia-Wei Liu
Zhengyuan Zhu
FedML
25
14
0
17 Aug 2022
A Modified UDP for Federated Learning Packet Transmissions
A Modified UDP for Federated Learning Packet Transmissions
B. Mahembe
Clement N. Nyirenda
21
1
0
11 Aug 2022
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale
  Neural Networks through Federated Learning
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
Yuanyuan Chen
Zichen Chen
Pengcheng Wu
Han Yu
AI4CE
17
18
0
10 Aug 2022
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning
Yacine Belal
A. Bellet
Sonia Ben Mokhtar
Vlad Nitu
21
10
0
09 Aug 2022
Application of federated learning in manufacturing
Application of federated learning in manufacturing
Vinit Hegiste
T. Legler
Martin Ruskowski
FedML
21
17
0
09 Aug 2022
Distributed Contrastive Learning for Medical Image Segmentation
Distributed Contrastive Learning for Medical Image Segmentation
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yiyu Shi
Jingtong Hu
FedML
52
48
0
07 Aug 2022
Low-Latency Cooperative Spectrum Sensing via Truncated Vertical
  Federated Learning
Low-Latency Cooperative Spectrum Sensing via Truncated Vertical Federated Learning
Zezhong Zhang
Guangxu Zhu
Shuguang Cui
FedML
25
10
0
07 Aug 2022
BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare
BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare
Moirangthem Biken Singh
A. Pratap
OOD
35
3
0
24 Jul 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient
  Communication with ADMM
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Chulin Xie
Pin-Yu Chen
Qinbin Li
Arash Nourian
Ce Zhang
Bo Li
FedML
33
16
0
20 Jul 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
31
61
0
20 Jul 2022
FLDetector: Defending Federated Learning Against Model Poisoning Attacks
  via Detecting Malicious Clients
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients
Zaixi Zhang
Xiaoyu Cao
Jin Jia
Neil Zhenqiang Gong
AAML
FedML
24
214
0
19 Jul 2022
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing
  Resources
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources
Ji Liu
Daxiang Dong
Xi Wang
An Qin
Xingjian Li
P. Valduriez
Dejing Dou
Dianhai Yu
34
6
0
14 Jul 2022
AVDDPG: Federated reinforcement learning applied to autonomous platoon
  control
AVDDPG: Federated reinforcement learning applied to autonomous platoon control
Christian Boin
Lei Lei
Simon X. Yang
21
4
0
05 Jul 2022
Fundamental Limits of Communication Efficiency for Model Aggregation in
  Distributed Learning: A Rate-Distortion Approach
Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach
Naifu Zhang
M. Tao
Jia Wang
Fan Xu
19
13
0
28 Jun 2022
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning
Xueyang Wu
S. Tan
Qian Xu
Qiang Yang
FedML
17
2
0
21 Jun 2022
Federated Offline Reinforcement Learning
Federated Offline Reinforcement Learning
D. Zhou
Yufeng Zhang
Aaron Sonabend-W
Zhaoran Wang
Junwei Lu
Tianxi Cai
OffRL
34
13
0
11 Jun 2022
Rate Distortion Tradeoff in Private Read Update Write in Federated
  Submodel Learning
Rate Distortion Tradeoff in Private Read Update Write in Federated Submodel Learning
Sajani Vithana
S. Ulukus
FedML
34
8
0
07 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search
A Survey on Computationally Efficient Neural Architecture Search
Shiqing Liu
Haoyu Zhang
Yaochu Jin
32
41
0
03 Jun 2022
Private Federated Submodel Learning with Sparsification
Private Federated Submodel Learning with Sparsification
Sajani Vithana
S. Ulukus
FedML
26
10
0
31 May 2022
A review of machine learning approaches, challenges and prospects for
  computational tumor pathology
A review of machine learning approaches, challenges and prospects for computational tumor pathology
Liangrui Pan
Zhichao Feng
Shaoliang Peng
AI4CE
27
7
0
31 May 2022
A Cross-City Federated Transfer Learning Framework: A Case Study on
  Urban Region Profiling
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling
Gaode Chen
Yijun Su
Xinghua Zhang
Anmin Hu
Guochun Chen
Siyuan Feng
Jinlin Xiang
Junbo Zhang
Yu Zheng
39
5
0
31 May 2022
Encoded Gradients Aggregation against Gradient Leakage in Federated
  Learning
Encoded Gradients Aggregation against Gradient Leakage in Federated Learning
Dun Zeng
Shiyu Liu
Siqi Liang
Zonghang Li
Hongya Wang
Irwin King
Zenglin Xu
FedML
25
0
0
26 May 2022
Cali3F: Calibrated Fast Fair Federated Recommendation System
Cali3F: Calibrated Fast Fair Federated Recommendation System
Zhitao Zhu
Shijing Si
Jianzong Wang
Jing Xiao
FedML
81
14
0
26 May 2022
FedSA: Accelerating Intrusion Detection in Collaborative Environments
  with Federated Simulated Annealing
FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing
H. N. C. Neto
Ivana Dusparic
D. M. F. Mattos
N. Fernandes
FedML
25
10
0
23 May 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning
  Using a Lazy Influence Approximation
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
Ljubomir Rokvic
Panayiotis Danassis
Sai Praneeth Karimireddy
Boi Faltings
TDI
27
1
0
23 May 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and
  Privacy Protection
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Zhe Liu
P. Zhao
OOD
45
25
0
20 May 2022
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
Tighter Regret Analysis and Optimization of Online Federated Learning
Tighter Regret Analysis and Optimization of Online Federated Learning
Dohyeok Kwon
Jonghwan Park
Songnam Hong
28
11
0
13 May 2022
Over-the-Air Federated Learning with Joint Adaptive Computation and
  Power Control
Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control
Haibo Yang
Pei-Yuan Qiu
Jia Liu
Aylin Yener
23
18
0
12 May 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+
Federated Progressive Sparsification (Purge, Merge, Tune)+
Dimitris Stripelis
Umang Gupta
Greg Ver Steeg
J. Ambite
FedML
23
9
0
26 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
21
88
0
11 Apr 2022
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