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Experiments of Federated Learning for COVID-19 Chest X-ray Images

Experiments of Federated Learning for COVID-19 Chest X-ray Images

5 July 2020
Boyi Liu
Bingjie Yan
Yize Zhou
Yifan Yang
Yixian Zhang
    OOD
    FedML
ArXivPDFHTML

Papers citing "Experiments of Federated Learning for COVID-19 Chest X-ray Images"

39 / 39 papers shown
Title
Blockchain Meets LLMs: A Living Survey on Bidirectional Integration
Blockchain Meets LLMs: A Living Survey on Bidirectional Integration
Jianghao Gong
Peiqi Yan
Yue Zhang
Hongli An
Logan Liu
74
0
0
25 Nov 2024
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning
M. Y. Jabarulla
T. Uden
Thomas Jack
P. Beerbaum
S. Oeltze-jafra
37
1
0
15 Nov 2024
IDU-Detector: A Synergistic Framework for Robust Masquerader Attack
  Detection
IDU-Detector: A Synergistic Framework for Robust Masquerader Attack Detection
Zilin Huang
Xiulai Li
Xinyi Cao
Ke Chen
Longjuan Wang
Logan Bo-Yee Liu
AAML
35
0
0
09 Nov 2024
TabSec: A Collaborative Framework for Novel Insider Threat Detection
TabSec: A Collaborative Framework for Novel Insider Threat Detection
Zilin Huang
Xiangyan Tang
Hongyu Li
Xinyi Cao
Jieren Cheng
26
0
0
04 Nov 2024
MV-Adapter: Enhancing Underwater Instance Segmentation via Adaptive
  Channel Attention
MV-Adapter: Enhancing Underwater Instance Segmentation via Adaptive Channel Attention
Lianjun Liu
31
0
0
01 Nov 2024
In-depth Analysis of Privacy Threats in Federated Learning for Medical
  Data
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data
B. Das
M. H. Amini
Yanzhao Wu
29
0
0
27 Sep 2024
A Multi-Level Approach for Class Imbalance Problem in Federated Learning
  for Remote Industry 4.0 Applications
A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications
R. Hussain
Mohsen Amini Salehi
FedML
30
0
0
24 Sep 2024
On the Convergence Rates of Federated Q-Learning across Heterogeneous
  Environments
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments
Muxing Wang
Pengkun Yang
Lili Su
FedML
31
1
0
05 Sep 2024
Bayesian Networks and Machine Learning for COVID-19 Severity Explanation
  and Demographic Symptom Classification
Bayesian Networks and Machine Learning for COVID-19 Severity Explanation and Demographic Symptom Classification
O. Ajayi
Yu Cheng
CML
13
0
0
16 Jun 2024
A Federated Learning Approach to Privacy Preserving Offensive Language
  Identification
A Federated Learning Approach to Privacy Preserving Offensive Language Identification
Marcos Zampieri
Damith Premasiri
Tharindu Ranasinghe
FedML
24
2
0
17 Apr 2024
Federated Modality-specific Encoders and Multimodal Anchors for
  Personalized Brain Tumor Segmentation
Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation
Qian Dai
Dong Wei
Hong Liu
Jinghan Sun
Liansheng Wang
Yefeng Zheng
19
2
0
18 Mar 2024
Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial
  Attacks
Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks
Erfan Darzi
N. Sijtsema
P. V. Ooijen
24
2
0
12 Oct 2023
Advancements in Federated Learning: Models, Methods, and Privacy
Advancements in Federated Learning: Models, Methods, and Privacy
Hui Chen
Huandong Wang
Qingyue Long
Depeng Jin
Yong Li
FedML
36
14
0
22 Feb 2023
Federated attention consistent learning models for prostate cancer
  diagnosis and Gleason grading
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading
Fei Kong
Xiyue Wang
Jin-Peng Xiang
Sen Yang
Xinran Wang
...
Xiao Han
Yuhan Dong
Biyue Zhu
Fang Wang
Yueping Liu
MedIm
40
6
0
13 Feb 2023
Privacy-Preserving Online Content Moderation: A Federated Learning Use
  Case
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case
Pantelitsa Leonidou
N. Kourtellis
Nikos Salamanos
Michael Sirivianos
11
1
0
23 Sep 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends,
  Challenges, and Future Research Directions
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
43
91
0
05 Aug 2022
Application of Federated Learning in Building a Robust COVID-19 Chest
  X-ray Classification Model
Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model
A. Bhattacharya
M. Gawali
J. Seth
V. Kulkarni
FedML
OOD
18
7
0
22 Apr 2022
A Two-Stage Federated Transfer Learning Framework in Medical Images
  Classification on Limited Data: A COVID-19 Case Study
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study
Alex Zhang
Naomi Fengqi Li
OOD
FedML
26
4
0
24 Mar 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems:
  A Comprehensive Survey
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey
Mansoor Ali
F. Naeem
M. Tariq
Georges Kaddoum
26
119
0
18 Mar 2022
A Novel Optimized Asynchronous Federated Learning Framework
A Novel Optimized Asynchronous Federated Learning Framework
Zhicheng Zhou
Hailong Chen
Kunhua Li
Fei Hu
Bingjie Yan
...
Xuyan Wei
Bernie Liu
Xiulai Li
Fuwen Chen
Yongjie Sui
FedML
14
5
0
18 Nov 2021
Federated Learning for Smart Healthcare: A Survey
Federated Learning for Smart Healthcare: A Survey
Dinh C. Nguyen
Viet Quoc Pham
P. Pathirana
Ming Ding
Aruna Seneviratne
Zihuai Lin
O. Dobre
W. Hwang
FedML
17
512
0
16 Nov 2021
Federated Learning for Internet of Things: Applications, Challenges, and
  Opportunities
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
Tuo Zhang
Lei Gao
Chaoyang He
Mi Zhang
Bhaskar Krishnamachari
Salman Avestimehr
FedML
19
168
0
15 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated
  Learning: A Survey of Trends and Challenges
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
Mohammad M. Al-Quraan
Lina S. Mohjazi
Lina Bariah
A. Centeno
A. Zoha
Sami Muhaidat
Mérouane Debbah
Muhammad Ali Imran
22
62
0
14 Nov 2021
DPCOVID: Privacy-Preserving Federated Covid-19 Detection
DPCOVID: Privacy-Preserving Federated Covid-19 Detection
Trang-Thi Ho
Yennun Huang
OOD
FedML
19
4
0
26 Oct 2021
Federated Learning for COVID-19 Detection with Generative Adversarial
  Networks in Edge Cloud Computing
Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing
Dinh C. Nguyen
Ming Ding
P. Pathirana
Aruna Seneviratne
Albert Y. Zomaya
FedML
MedIm
36
84
0
14 Oct 2021
Study on Transfer Learning Capabilities for Pneumonia Classification in
  Chest-X-Rays Image
Study on Transfer Learning Capabilities for Pneumonia Classification in Chest-X-Rays Image
D. Avola
Andrea Bacciu
Luigi Cinque
Alessio Fagioli
Marco Raoul Marini
Riccardo Taiello
10
9
0
06 Oct 2021
Federated Learning: Issues in Medical Application
Federated Learning: Issues in Medical Application
Joo Hun Yoo
Hyejun Jeong
Jaehyeok Lee
Tai M. Chung
FedML
OOD
31
13
0
01 Sep 2021
Blockchain-based Trustworthy Federated Learning Architecture
Blockchain-based Trustworthy Federated Learning Architecture
Sin Kit Lo
Yue Liu
Qinghua Lu
Chen Wang
Xiwei Xu
Hye-Young Paik
Liming Zhu
FedML
24
18
0
16 Aug 2021
A Survey of Machine Learning Techniques for Detecting and Diagnosing
  COVID-19 from Imaging
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging
Aishwarza Panday
M. A. Kabir
N. K. Chowdhury
33
7
0
25 Jul 2021
Federated Learning for Multi-Center Imaging Diagnostics: A Study in
  Cardiovascular Disease
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease
Akis Linardos
Kaisar Kushibar
S. Walsh
P. Gkontra
Karim Lekadir
FedML
25
62
0
07 Jul 2021
Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like
  Epidemics: A Survey
Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like Epidemics: A Survey
Dinh C. Nguyen
Ming Ding
P. Pathirana
Aruna Seneviratne
25
179
0
28 Jun 2021
Federated Learning for Industrial Internet of Things in Future
  Industries
Federated Learning for Industrial Internet of Things in Future Industries
Dinh C. Nguyen
Ming Ding
P. Pathirana
A. Seneviratne
Jun Li
Dusit Niyato
H. Vincent Poor
FedML
AI4CE
41
67
0
31 May 2021
Systematic investigation into generalization of COVID-19 CT deep
  learning models with Gabor ensemble for lung involvement scoring
Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring
M. J. Horry
Subrata Chakraborty
B. Pradhan
M. Fallahpoor
Chegeni Hossein
M. Paul
13
6
0
20 Apr 2021
FLOP: Federated Learning on Medical Datasets using Partial Networks
FLOP: Federated Learning on Medical Datasets using Partial Networks
Qiang Yang
Jianyi Zhang
Weituo Hao
Gregory P. Spell
Lawrence Carin
FedML
OOD
23
86
0
10 Feb 2021
Applications of Federated Learning in Smart Cities: Recent Advances,
  Taxonomy, and Open Challenges
Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges
Zhaohua Zheng
Yize Zhou
Yilong Sun
Zhang Wang
Boyi Liu
Keqiu Li
20
102
0
02 Feb 2021
Comparison of Privacy-Preserving Distributed Deep Learning Methods in
  Healthcare
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare
M. Gawali
S. ArvindC.
Shriya Suryavanshi
Harshit Madaan
A. Gaikwad
KN BhanuPrakash
V. Kulkarni
Aniruddha Pant
FedML
10
35
0
23 Dec 2020
COVID-19 Imaging Data Privacy by Federated Learning Design: A
  Theoretical Framework
COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework
Anwaar Ulhaq
O. Burmeister
FedML
16
19
0
13 Oct 2020
Dynamic Fusion based Federated Learning for COVID-19 Detection
Dynamic Fusion based Federated Learning for COVID-19 Detection
Weishan Zhang
Tao Zhou
Qinghua Lu
Xiao Wang
Chunsheng Zhu
Haoyun Sun
Zhipeng Wang
Sin Kit Lo
Fei-Yue Wang
FedML
MedIm
17
209
0
22 Sep 2020
Design and Implementation of A Novel Precision Irrigation Robot Based on
  An Intelligent Path Planning Algorithm
Design and Implementation of A Novel Precision Irrigation Robot Based on An Intelligent Path Planning Algorithm
Minghan Chen
Yilong Sun
Xueqing Cai
Boyi Liu
Tenglong Ren
11
12
0
02 Mar 2020
1