Related references
Note: Only part of the references are listed.Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track
Tsung-Ting Kuo et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2021)
Previewable Contract-Based On-Chain X-Ray Image Sharing Framework for Clinical Research
Megan Mun Li et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2021)
A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus
Yuzheng Li et al.
IEEE NETWORK (2021)
LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data
Li Huang et al.
PLOS ONE (2020)
iDASH secure genome analysis competition 2018: blockchain genomic data access logging, homomorphic encryption on GWAS, and DNA segment searching
Tsung-Ting Kuo et al.
BMC MEDICAL GENOMICS (2020)
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
Micah J. Sheller et al.
SCIENTIFIC REPORTS (2020)
PiRATE: A Blockchain-Based Secure Framework of Distributed Machine Learning in 5G Networks
Sicong Zhou et al.
IEEE NETWORK (2020)
A review of applications in federated learning
Li Li et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2020)
EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning
Tsung-Ting Kuo et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2020)
Privacy-preserving model learning on a blockchain network-of-networks
Tsung-Ting Kuo et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2020)
Fit-for-purpose?' - challenges and opportunities for applications of blockchain technology in the future of healthcare
Tim K. Mackey et al.
BMC MEDICINE (2019)
Estimating the success of re-identifications in incomplete datasets using generative models
Luc Rocher et al.
NATURE COMMUNICATIONS (2019)
Fair compute loads enabled by blockchain: sharing models by alternating client and server roles
Tsung-Ting Kuo et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2019)
Comparison of blockchain platforms: a systematic review and healthcare examples
Tsung-Ting Kuo et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2019)
Efficient Privacy-Preserving Machine Learning for Blockchain Network
Hyunil Kim et al.
IEEE ACCESS (2019)
Federated learning of predictive models from federated Electronic Health Records
Theodora S. Brisimi et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2018)
Wild patterns: Ten years after the rise of adversarial machine learning
Battista Biggio et al.
PATTERN RECOGNITION (2018)
Blockchain distributed ledger technologies for biomedical and health care applications
Tsung-Ting Kuo et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2017)
EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning
Shuang Wang et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2013)
Grid Binary LOgistic REgression (GLORE): building shared models without sharing data
Yuan Wu et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2012)
The use of receiver operating characteristic curves in biomedical informatics
TA Lasko et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2005)
Share Paper
