Who Cited It

Secure, privacy-preserving and federated machine learning in medical imaging

2020 · Nature Machine Intelligence · 1,454 citations · 2 from inside this corpus

Georgios Kaissis, Marcus R. Makowski, Daniel Rückert low, Rickmer Braren

The source holds an abstract for this work, but its best open-access copy is under other-oa, which does not permit us to republish the text. Read it at the source below.

Secure, privacy-preserving and federated machine learning in medical imaging (2020)Secure, privacy-preserving an…Mastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…The Algorithmic Foundations of Differential Privacy (2014)The Algorithmic Foundations o…Membership Inference Attacks Against Machine Learning Models (2017)Membership Inference Attacks …The Algorithmic Foundations of Differential Privacy (2013)The Algorithmic Foundations o…Grandmaster level in StarCraft II using multi-agent reinforcement learning (2019)Grandmaster level in StarCraf…International evaluation of an AI system for breast cancer screening (2020)International evaluation of a…Federated Learning: Strategies for Improving Communication Efficiency (2016)Federated Learning: Strategie…Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (2015)Model Inversion Attacks that …Robust De-anonymization of Large Sparse Datasets (2008)Robust De-anonymization of La…Model-Contrastive Federated Learning (2021)Model-Contrastive Federated L…Federated Learning for Internet of Things: A Comprehensive Survey (2021)Federated Learning for Intern…
11 of 11 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Mastering the game of Go with deep neural networks and tree search201616,014
The Algorithmic Foundations of Differential Privacy20144,578
Membership Inference Attacks Against Machine Learning Models20174,490
The Algorithmic Foundations of Differential Privacy20134,058
Grandmaster level in StarCraft II using multi-agent reinforcement learning20193,508
International evaluation of an AI system for breast cancer screening20203,279
Federated Learning: Strategies for Improving Communication Efficiency20163,050
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures20152,885
Robust De-anonymization of Large Sparse Datasets20082,349

What cites it, inside the corpus

PaperYearCited
Model-Contrastive Federated Learning20211,485
Federated Learning for Internet of Things: A Comprehensive Survey20211,465

Links

DOI · Open access copy · OpenAlex record

Topics

Privacy-Preserving Technologies in DataComputer Science
Artificial Intelligence in Healthcare and EducationMedicine
Radiomics and Machine Learning in Medical ImagingMedicine

Is this record sound?

complete

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

  • supports4 author record(s) attached.
  • supports90 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…