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Blockchain-Federated-Learning and Deep Learning Models for COVID-19
  detection using CT Imaging

Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging

10 July 2020
R. Kumar
A. Khan
Sinmin Zhang
Jay Kumar
Wenyong Wang
Yousif Abuidris
Zakria
Waqas Amin
Sidra Shafiq
WenYong Wang
    OOD
    FedML
ArXivPDFHTML

Papers citing "Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging"

28 / 28 papers shown
Title
SoK: Decentralized AI (DeAI)
SoK: Decentralized AI (DeAI)
Zhipeng Wang
Rui Sun
Elizabeth Lui
Vatsal Shah
Xihan Xiong
Jiahao Sun
Davide Crapis
William Knottenbelt
101
1
0
26 Nov 2024
Learning Algorithms Made Simple
Learning Algorithms Made Simple
Noorbakhsh Amiri Golilarz
Elias Hossain
Abdoljalil Addeh
Keyan Alexander Rahimi
AAML
52
0
0
11 Oct 2024
Multi-dimensional Data Quick Query for Blockchain-based Federated
  Learning
Multi-dimensional Data Quick Query for Blockchain-based Federated Learning
Jiaxi Yang
Sheng Cao
Xiangli Peng
Xiong-da Li
Xiaosong Zhang
27
2
0
27 Sep 2023
Blockchain-based Federated Learning with SMPC Model Verification Against
  Poisoning Attack for Healthcare Systems
Blockchain-based Federated Learning with SMPC Model Verification Against Poisoning Attack for Healthcare Systems
Aditya Pribadi Kalapaaking
Ibrahim Khalil
X. Yi
19
41
0
26 Apr 2023
Blockchain-based Federated Learning with Secure Aggregation in Trusted
  Execution Environment for Internet-of-Things
Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things
Aditya Pribadi Kalapaaking
Ibrahim Khalil
Mohammad Saidur Rahman
Mohammed Atiquzzaman
X. Yi
Mahathir Almashor
FedML
21
65
0
25 Apr 2023
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
F. Santini
Jakob Wasserthal
Abramo Agosti
X. Deligianni
K. Keene
...
C. Weidensteiner
G. Manco
Matteo Paoletti
Valentina Mazzoli
Arjun D Desai
FedML
MedIm
14
9
0
13 Feb 2023
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
FedTracker: Furnishing Ownership Verification and Traceability for
  Federated Learning Model
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
Shuo Shao
Wenyuan Yang
Hanlin Gu
Zhan Qin
Lixin Fan
Qiang Yang
Kui Ren
FedML
29
27
0
14 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
A review of Deep learning Techniques for COVID-19 identification on Chest CT images
S. BrisklineKiruba
A. Petchiammal
D. Murugan
27
1
0
29 Jul 2022
Hypernetwork-based Personalized Federated Learning for
  Multi-Institutional CT Imaging
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging
Ziyuan Yang
Wenjun Xia
Zexin Lu
Yingyu Chen
Xiaoxia Li
Yi Zhang
FedML
OOD
16
28
0
08 Jun 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
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Xiaoxiao Liang
Yiqun Lin
Huazhu Fu
Lei Zhu
Xiaomeng Li
FedML
19
48
0
26 Mar 2022
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19
  Segmentation
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation
Antonios Georgiadis
Varun Babbar
Fran Silavong
Sean J. Moran
R. Otter
OOD
FedML
23
3
0
25 Mar 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
32
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
32
119
0
18 Mar 2022
A Comprehensive Survey on Federated Learning: Concept and Applications
A Comprehensive Survey on Federated Learning: Concept and Applications
Dhurgham Hassan Mahlool
Mohammed Hamzah Abed
FedML
23
22
0
23 Jan 2022
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile
  Crowdsensing
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing
Qin Hu
Zhilin Wang
Minghui Xu
Xiuzhen Cheng
40
33
0
16 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
Federated Learning for Big Data: A Survey on Opportunities,
  Applications, and Future Directions
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
Thippa Reddy Gadekallu
Viet Quoc Pham
Thien Huynh-The
S. Bhattacharya
Praveen Kumar Reddy Maddikunta
Madhusanka Liyanage
FedML
AI4CE
50
39
0
08 Oct 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
39
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
28
179
0
28 Jun 2021
Optimality and Stability in Federated Learning: A Game-theoretic
  Approach
Optimality and Stability in Federated Learning: A Game-theoretic Approach
Kate Donahue
Jon M. Kleinberg
FedML
13
45
0
17 Jun 2021
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and
  Limited Labeled COVID-19 Data
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data
R. Alizadehsani
Danial Sharifrazi
N. H. Izadi
Javad Hassannataj Joloudari
A. Shoeibi
...
F. Khozeimeh
Abbas Khosravi
S. Nahavandi
Sheikh Mohammed Shariful Islam
U. Acharya
24
59
0
12 Feb 2021
Federated Learning: Opportunities and Challenges
Federated Learning: Opportunities and Challenges
P. Mammen
FedML
48
211
0
14 Jan 2021
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images
  and Acoustic-based Techniques: A Recent Review
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review
Walid Hariri
A. Narin
19
35
0
10 Dec 2020
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