Research graph
References from Revolutionizing healthcare data analytics with federated learning: A comprehensive survey of applications, systems, and future directions. Local targets link to admitted publications; unresolved targets remain external evidence.
The potential for artificial intelligence in healthcare
10.7861/futurehosp.6-2-94 · 2019 · External reference
AI-assisted decision-making in healthcare: the application of an ethics framework for big data in health and research
10.1007/s41649-019-00096-0 · 2019 · External reference
Developing a data infrastructure for a learning health system: the portal network
10.1136/amiajnl-2014-002746 · 2014 · External reference
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Regulation (EU) 2016/679 of the European Parliament and of the council
2016 · External reference
10.1016/j.jbi.2017.01.012
10.1016/j.jbi.2017.01.012 · External reference
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2017 · External reference
10.1109/ictc55196.2022.9952440
10.1109/ictc55196.2022.9952440 · 2022 · External reference
Centralized cnn–gru model by federated learning for covid-19 prediction in India
2023 · External reference
10.1109/incacct57535.2023.10141746
10.1109/incacct57535.2023.10141746 · 2023 · External reference
10.1111/nyas.13259
10.1111/nyas.13259 · External reference
Brain computer interfaces for improving the quality of life of older adults and elderly patients
10.3389/fnins.2020.00692 · 2020 · External reference
On closed-loop brain stimulation systems for improving the quality of life of patients with neurological disorders
10.3389/fnhum.2023.1085173 · 2023 · External reference
Aggregating intrinsic information to enhance bci performance through federated learning
10.1016/j.neunet.2024.106100 · 2024 · External reference
Federated motor imagery classification for privacy-preserving brain-computer interfaces
2024 · External reference
10.1145/3631700.3665194
10.1145/3631700.3665194 · 2024 · External reference
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2023 · External reference
10.1109/embc44109.2020.9175344
10.1109/embc44109.2020.9175344 · 2020 · External reference
Privacy-preserving brain–computer interfaces: a systematic review
10.1109/tcss.2022.3184818 · 2022 · External reference
Privacy-enhancing technologies in federated learning for the Internet of healthcare things: a survey
10.3390/electronics12122703 · 2023 · External reference
Federated learning for the Internet-of-medical-things: a survey
10.3390/math11010151 · 2022 · External reference
Adoption of federated learning for healthcare informatics: emerging applications and future directions
10.1109/access.2022.3201876 · 2022 · External reference
Federated learning for the healthcare metaverse: concepts, applications, challenges, and future directions
2023 · External reference
A survey of federated learning from data perspective in the healthcare domain: challenges, methods, and future directions
2023 · External reference
Advancing pandemic preparedness in healthcare 5.0: a survey of federated learning applications
10.1155/2023/9992393 · 2023 · External reference
Federated learning for privacy preservation in smart healthcare systems: a comprehensive survey
10.1109/jbhi.2022.3181823 · 2022 · External reference
10.1109/gcwkshps58843.2023.10465035
10.1109/gcwkshps58843.2023.10465035 · 2023 · External reference
Federated learning for secure iomt-applications in smart healthcare systems: a comprehensive review
10.1016/j.knosys.2023.110658 · 2023 · External reference
10.1007/s41666-020-00082-4
10.1007/s41666-020-00082-4 · External reference
Federated learning for smart healthcare: a survey
2023 · External reference
Survey of medical applications of federated learning
10.4258/hir.2024.30.1.3 · 2024 · External reference
Federated learning for healthcare domain-pipeline, applications and challenges
10.1145/3533708 · 2022 · External reference
Secure multiparty computation and trusted hardware: examining adoption challenges and opportunities
2019 · External reference
A survey on federated learning: a perspective from multi-party computation
10.1007/s11704-023-3282-7 · 2024 · External reference
10.1109/jiot.2024.3519678
10.1109/jiot.2024.3519678 · External reference
Privacy-preserving analysis of distributed biomedical data: designing efficient and secure multiparty computations using distributed statistical learning theory
10.2196/12702 · 2019 · External reference
From distributed machine learning to federated learning: a survey
10.1007/s10115-022-01664-x · 2022 · External reference
10.1109/uemcon51285.2020.9298174
10.1109/uemcon51285.2020.9298174 · 2020 · External reference
10.1561/2200000083 · 2021 · Admitted local publication
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2019 · External reference
Federated learning of electronic health records improves mortality prediction in patients hospitalized with covid-19
2020 · External reference
10.1038/s41598-022-05539-7
10.1038/s41598-022-05539-7 · External reference
10.1201/9781003497196-3
10.1201/9781003497196-3 · External reference
Fl-pmi: federated learning-based person movement identification through wearable devices in smart healthcare systems
10.3390/s22041377 · 2022 · External reference
Edge-iiotset: a new comprehensive realistic cyber security dataset of iot and iiot applications for centralized and federated learning
10.1109/access.2022.3165809 · 2022 · External reference
Federated learning with hyperparameter-based clustering for electrical load forecasting
10.1016/j.iot.2021.100470 · 2022 · External reference
A federated learning method for network intrusion detection
10.1002/cpe.6812 · 2022 · External reference
Dacfl: dynamic average consensus-based federated learning in decentralized sensors network
10.3390/s22093317 · 2022 · External reference
10.1109/infocom.2018.8486352
10.1109/infocom.2018.8486352 · 2018 · External reference
Federated learning of predictive models from federated electronic health records
10.1016/j.ijmedinf.2018.01.007 · 2018 · External reference
Blockchain-empowered decentralized horizontal federated learning for 5g-enabled uavs
10.1109/tii.2021.3116132 · 2021 · External reference
A dispersed federated learning framework for 6g-enabled autonomous driving cars
2022 · External reference
10.1007/978-981-19-2976-2_6
10.1007/978-981-19-2976-2_6 · 2022 · External reference
Decentralized federated learning for extended sensing in 6g connected vehicles
2022 · External reference
Decentralized federated learning for industrial iot with deep echo state networks
2022 · External reference
Decentralized federated learning for healthcare networks: a case study on tumor segmentation
10.1109/access.2022.3141913 · 2022 · External reference
Decentralized federated learning through proxy model sharing
10.1038/s41467-023-38569-4 · 2023 · External reference
Fedstellar: a platform for decentralized federated learning
10.1016/j.eswa.2023.122861 · 2024 · External reference
10.1145/3488932.3527285
10.1145/3488932.3527285 · 2022 · External reference
Open-source federated learning frameworks for iot: a comparative review and analysis
10.3390/s21010167 · 2020 · External reference
A survey on federated learning systems: vision, hype and reality for data privacy and protection
2021 · External reference
A survey on security and privacy of federated learning
10.1016/j.future.2020.10.007 · 2021 · External reference
Federated transfer learning: concept and applications
2021 · External reference
Promoting collaborations in cross-silo federated learning: challenges and opportunities
2023 · External reference
10.1109/tmc.2024.3509852
10.1109/tmc.2024.3509852 · External reference
10.18653/v1/2024.findings-naacl.59
10.18653/v1/2024.findings-naacl.59 · External reference
Federated learning for smart healthcare: a survey
10.1145/3501296 · 2022 · External reference
Communication-efficient federated deep learning with layerwise asynchronous model update and temporally weighted aggregation
10.1109/tnnls.2019.2953131 · 2019 · External reference
Federated learning meets human emotions: a decentralized framework for human–computer interaction for iot applications
10.1109/jiot.2020.3037207 · 2020 · External reference
10.1007/978-3-031-08999-2_1
10.1007/978-3-031-08999-2_1 · 2022 · External reference
Fearh: federated machine learning with anonymous random hybridization on electronic medical records
10.1016/j.jbi.2021.103735 · 2021 · External reference
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records
10.1016/j.jbi.2019.103291 · 2019 · External reference
Federated learning for covid-19 screening from chest X-ray images
10.1016/j.asoc.2021.107330 · 2021 · External reference
10.1016/j.media.2020.101765
10.1016/j.media.2020.101765 · External reference
Learning from others without sacrificing privacy: simulation comparing centralized and federated machine learning on mobile health data
10.2196/23728 · 2021 · External reference
Federated learning for privacy preservation of healthcare data from smartphone-based side-channel attacks
2022 · External reference
Feddpgan: federated differentially private generative adversarial networks framework for the detection of covid-19 pneumonia
10.1007/s10796-021-10144-6 · 2021 · External reference
Implementing vertical federated learning using autoencoders: practical application, generalizability, and utility study
10.2196/26598 · 2021 · External reference
Distributed and deep vertical federated learning with big data
10.1002/cpe.7697 · 2023 · External reference
Vertical federated learning: concepts, advances, and challenges
2024 · External reference
Fedhealth: a federated transfer learning framework for wearable healthcare
10.1109/mis.2020.2988604 · 2020 · External reference
Federated transfer learning in fault diagnosis under data privacy with target self-adaptation
10.1016/j.jmsy.2023.05.006 · 2023 · External reference
A transfer learning approach to breast cancer classification in a federated learning framework
10.1109/access.2023.3257562 · 2023 · External reference
Federated machine learning: concept and applications
10.1145/3298981 · 2019 · External reference
Practical federated gradient boosting decision trees
2020 · External reference
10.1007/978-3-030-53187-4_20
10.1007/978-3-030-53187-4_20 · 2020 · External reference
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10.1109/icdcs47774.2020.00017
10.1109/icdcs47774.2020.00017 · External reference
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2021 · External reference
10.1109/bigdata52589.2021.9671749
10.1109/bigdata52589.2021.9671749 · External reference
10.1145/3065386
10.1145/3065386 · External reference
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2012 · External reference
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2019 · External reference
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A collaborative online ai engine for ct-based covid-19 diagnosis
2020 · External reference
sPLINK: a federated, privacy-preserving tool as a robust alternative to meta-analysis in genome-wide association studies
2020 · External reference
Collaborative federated learning for healthcare: multi-modal covid-19 diagnosis at the edge
10.1109/ojcs.2022.3206407 · 2022 · External reference
A federated learning based privacy-preserving smart healthcare system
2021 · External reference
Every parameter matters: ensuring the convergence of federated learning with dynamic heterogeneous models reduction
2024 · External reference
10.1109/isbi.2019.8759317
10.1109/isbi.2019.8759317 · 2019 · External reference
Privacy-preserving patient similarity learning in a federated environment: development and analysis
2018 · External reference
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2021 · External reference
A federated learning approach to breast cancer prediction in a collaborative learning framework
10.3390/healthcare11243185 · 2023 · External reference
10.1109/icesc60852.2024.10690003
10.1109/icesc60852.2024.10690003 · 2024 · External reference
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2018 · External reference
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2019 · External reference
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2008 · External reference
10.1145/3458864.3466628
10.1145/3458864.3466628 · 2021 · External reference
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2009 · External reference
10.1109/csr57506.2023.10224979
10.1109/csr57506.2023.10224979 · 2023 · External reference
Securing federated learning enabled nwdaf architecture with partial homomorphic encryption
2023 · External reference
Computing arbitrary functions of encrypted data
10.1145/1666420.1666444 · 2010 · External reference
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2023 · External reference
A federated learning system with data fusion for healthcare using multi-party computation and additive secret sharing
10.1016/j.comcom.2024.01.006 · 2024 · External reference
10.1007/978-3-031-08637-3_3
10.1007/978-3-031-08637-3_3 · 2023 · External reference
Practicing differential privacy in health care: a review
2013 · External reference
10.1109/sp.2017.12
10.1109/sp.2017.12 · 2017 · External reference
Differential privacy has disparate impact on model accuracy
2019 · External reference
Communication-efficient distributed learning: an overview
2023 · External reference
10.1145/3555803
10.1145/3555803 · External reference
A federated learning multi-task scheduling mechanism based on trusted computing sandbox
10.3390/s23042093 · 2023 · External reference
Srfl: a secure & robust federated learning framework for iot with trusted execution environments
10.1016/j.eswa.2023.122410 · 2024 · External reference
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (sgd)
10.1007/s10994-014-5456-x · 2015 · External reference
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Personalized federated learning with theoretical guarantees: a model-agnostic meta-learning approach
2020 · External reference
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2020 · External reference
Federated learning: challenges, methods, and future directions
10.1109/msp.2020.2975749 · 2020 · External reference
Ensemble distillation for robust model fusion in federated learning
2020 · External reference
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Tackling the objective inconsistency problem in heterogeneous federated optimization
2020 · External reference
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10.1145/3474369.3486872
10.1145/3474369.3486872 · 2021 · External reference
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Secureboost: a lossless federated learning framework
10.1109/mis.2021.3082561 · 2021 · External reference
10.1109/bigdata50022.2020.9377960
10.1109/bigdata50022.2020.9377960 · 2020 · External reference
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Robust federated learning: the case of affine distribution shifts
2020 · External reference
Personalized federated learning with Moreau envelopes
2020 · External reference
A privacy-preserving and non-interactive federated learning scheme for regression training with gradient descent
10.1016/j.ins.2020.12.007 · 2021 · External reference
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2021 · External reference
Cork: a privacy-preserving and lossless federated learning scheme for deep neural network
10.1016/j.ins.2022.04.052 · 2022 · External reference
Fedmdfg: federated learning with multi-gradient descent and fair guidance
2023 · External reference
Delta: diverse client sampling for fasting federated learning
2024 · External reference
Crowdfl: privacy-preserving mobile crowdsensing system via federated learning
2022 · External reference
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Towards federated learning at scale: system design
2019 · External reference
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10.1159/000360255
10.1159/000360255 · External reference
Datashield–new directions and dimensions
10.5334/dsj-2017-021 · 2017 · External reference
Federated learning: a survey on enabling technologies, protocols, and applications
10.1109/access.2020.3013541 · 2020 · External reference
Federated learning for 6g communications: challenges, methods, and future directions
10.23919/jcc.2020.09.009 · 2020 · External reference
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Over-the-air federated learning: status quo, open challenges, and future directions
2024 · External reference
10.1145/3338466.3358926
10.1145/3338466.3358926 · 2019 · External reference
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Communication and computation efficiency in federated learning: a survey
10.1016/j.iot.2023.100742 · 2023 · External reference
A cooperative analysis to incentivize communication-efficient federated learning
2024 · External reference
Evofed: leveraging evolutionary strategies for communication-efficient federated learning
2024 · External reference
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2017 · External reference
10.1109/isit50566.2022.9834750
10.1109/isit50566.2022.9834750 · 2022 · External reference
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2019 · External reference
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Communication-efficient federated learning
10.1073/pnas.2024789118 · 2021 · External reference
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2019 · External reference
10.1109/ieeeconf44664.2019.9049066
10.1109/ieeeconf44664.2019.9049066 · 2019 · External reference
A comprehensive empirical study of heterogeneity in federated learning
10.1109/jiot.2023.3250275 · 2023 · External reference
Federated dropout—a simple approach for enabling federated learning on resource constrained devices
10.1109/lwc.2022.3149783 · 2022 · External reference
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2023 · External reference
Fedlc: optimizing federated learning in non-iid data via label-wise clustering
2023 · External reference
Feature matching data synthesis for non-iid federated learning
2024 · External reference
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2020 · External reference
Towards efficient and stable k-asynchronous federated learning with unbounded stale gradients on non-iid data
10.1109/tpds.2022.3150579 · 2022 · External reference
Node selection toward faster convergence for federated learning on non-iid data
10.1109/tnse.2022.3146399 · 2022 · External reference
10.1145/3133956.3134012
10.1145/3133956.3134012 · 2017 · External reference
Model pruning enables efficient federated learning on edge devices
2022 · External reference
10.4018/978-1-59140-557-3.ch189
10.4018/978-1-59140-557-3.ch189 · 2005 · External reference
Challenges and future directions of secure federated learning: a survey
10.1007/s11704-021-0598-z · 2022 · External reference
Inference attacks against differentially private query results from genomic datasets including dependent tuples
10.1093/bioinformatics/btaa475 · 2020 · External reference
Privacy-preserving deep learning via additively homomorphic encryption
2017 · External reference
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2020 · External reference
10.1109/icde51399.2021.00023
10.1109/icde51399.2021.00023 · 2021 · External reference
10.1145/3128572.3140451
10.1145/3128572.3140451 · 2017 · External reference
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10.1007/978-3-030-00470-5_13
10.1007/978-3-030-00470-5_13 · 2018 · External reference
Poison frogs! Targeted clean-label poisoning attacks on neural networks
2018 · External reference
Machine learning with adversaries: Byzantine tolerant gradient descent
2017 · External reference
Distributed statistical machine learning in adversarial settings: Byzantine gradient descent
10.1145/3154503 · 2017 · External reference
Federated variance-reduced stochastic gradient descent with robustness to Byzantine attacks
10.1109/tsp.2020.3012952 · 2020 · External reference
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10.1145/3097983.3098118
10.1145/3097983.3098118 · 2017 · External reference
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2018 · External reference
Unified fair federated learning for digital healthcare
10.1016/j.patter.2023.100907 · 2024 · External reference
Ppflhe: a privacy-preserving federated learning scheme with homomorphic encryption for healthcare data
10.1016/j.asoc.2023.110677 · 2023 · External reference
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2019 · External reference
10.1109/srds51746.2020.00015
10.1109/srds51746.2020.00015 · 2020 · External reference
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2020 · External reference
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2024 · External reference
10.1109/eurosp51992.2021.00054
10.1109/eurosp51992.2021.00054 · 2021 · External reference
Privacy-preserving federated learning in medical diagnosis with homomorphic re-encryption
10.1016/j.csi.2021.103583 · 2022 · External reference
Privacy-preserving federated learning using homomorphic encryption
10.3390/app12020734 · 2022 · External reference
Lafd: local-differentially private and asynchronous federated learning with direct feedback alignment
2023 · External reference
Threats, attacks and defenses to federated learning: issues, taxonomy and perspectives
2022 · External reference
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Advancing healthcare informatics for empowering privacy and security through federated learning paradigms
2024 · External reference
A comprehensive survey on federated learning techniques for healthcare informatics
10.1155/2023/8393990 · 2023 · External reference
Fedcare: federated learning for resource-constrained healthcare devices in iomt system
10.1109/tcss.2022.3232192 · 2023 · External reference
Feel: federated learning framework for elderly healthcare using edge-iomt
2023 · External reference
Ppfchain: a novel framework privacy-preserving blockchain-based federated learning method for sensor networks
10.1016/j.iot.2023.100781 · 2023 · External reference
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