Who Cited It

Federated Learning for Healthcare Informatics

2020 · Journal of Healthcare Informatics Research · 1,497 citations · 0 from inside this corpus

Jie Xu, Benjamin S. Glicksberg, Chang Su, Peter Walker, Jiang Bian, Fei Wang

No abstract in the source record.

Federated Learning for Healthcare Informatics (2020)Federated Learning for Health…Distilling the Knowledge in a Neural Network (2015)Distilling the Knowledge in a…Deep Reinforcement Learning with Double Q-Learning (2016)Deep Reinforcement Learning w…Federated Machine Learning (2019)Federated Machine LearningDeep Learning with Differential Privacy (2016)Deep Learning with Differenti…Communication-Efficient Learning of Deep Networks from Decentralized Data (2016)Communication-Efficient Learn…Practical Secure Aggregation for Privacy-Preserving Machine Learning (2017)Practical Secure Aggregation …Deep Reinforcement Learning with Double Q-Learning (2016)Deep Reinforcement Learning w…Deep learning for healthcare: review, opportunities and challenges (2017)Deep learning for healthcare:…Federated Learning: Strategies for Improving Communication Efficiency (2016)Federated Learning: Strategie…Federated Learning in Mobile Edge Networks: A Comprehensive Survey (2020)Federated Learning in Mobile …Privacy-Preserving Deep Learning (2015)Privacy-Preserving Deep Learn…The eICU Collaborative Research Database, a freely available multi-center database for cr… (2018)The eICU Collaborative Resear…Federated Learning with Non-IID Data (2018)Federated Learning with Non-I…Our Data, Ourselves: Privacy Via Distributed Noise Generation (2006)Our Data, Ourselves: Privacy …Federated Optimization: Distributed Machine Learning for On-Device Intelligence (2016)Federated Optimization: Distr…Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge (2019)Client Selection for Federate…
16 of 16 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Distilling the Knowledge in a Neural Network201514,099
Deep Reinforcement Learning with Double Q-Learning20166,271
Federated Machine Learning20196,228
Deep Learning with Differential Privacy20166,220
Communication-Efficient Learning of Deep Networks from Decentralized Data20165,190
Practical Secure Aggregation for Privacy-Preserving Machine Learning20173,744
Deep Reinforcement Learning with Double Q-Learning20163,516
Deep learning for healthcare: review, opportunities and challenges20173,115
Federated Learning: Strategies for Improving Communication Efficiency20163,050
Federated Learning in Mobile Edge Networks: A Comprehensive Survey20202,538
Privacy-Preserving Deep Learning20152,325
The eICU Collaborative Research Database, a freely available multi-center database for cr…20181,991
Federated Learning with Non-IID Data20181,918
Our Data, Ourselves: Privacy Via Distributed Noise Generation20061,826
Federated Optimization: Distributed Machine Learning for On-Device Intelligence20161,657
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge20191,528

Links

DOI · Open access copy · OpenAlex record

Topics

Privacy-Preserving Technologies in DataComputer Science
Machine Learning in HealthcareComputer Science
Artificial Intelligence in HealthcareHealth Professions

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports6 author record(s) attached.
  • supports125 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:58+00:00.

sha256 88a60cdbb94c6a13…