Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare ; volume:7 ; number:1 ; day:16 ; month:10 ; year:2024 ; pages:1-14 ; date:12.2024
npj digital medicine ; 7, Heft 1 (16.10.2024), 1-14, 12.2024

Creator: Thakur, Anshul
Molaei, Soheila
Nganjimi, Pafue Christy
Liu, Fenglin
Soltan, Andrew
Schwab, Patrick
Branson, Kim
Clifton, David A.

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41746-024-01272-9

URN: urn:nbn:de:101:1-2502072108083.420495749404

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:34 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Thakur, Anshul
Molaei, Soheila
Nganjimi, Pafue Christy
Liu, Fenglin
Soltan, Andrew
Schwab, Patrick
Branson, Kim
Clifton, David A.
SpringerLink (Online service)

Other Objects (12)

Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare

An Abstraction-Based Approach for Privacy-Aware Federated Process Mining

Global prototype distillation for heterogeneous federated learning

Semi-HFL: semi-supervised federated learning for heterogeneous devices

Hochschulschrift

Optimization of an interface abstraction layer for heterogeneous networks

ConSolid: A federated ecosystem for heterogeneous multi-stakeholder projects

A federated learning differential privacy algorithm for non-Gaussian heterogeneous data

Learning domain-heterogeneous speaker recognition systems with personalized continual federated learning

Incremental federated learning for traffic flow classification in heterogeneous data scenarios

Abschnitt

Abstraction.

Federated Query Processing over Heterogeneous Data Sources in a Semantic Data Lake

Federated Access to Heterogeneous Information Resources in the Neuroscience Information Framework (NIF)

Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare

An Abstraction-Based Approach for Privacy-Aware Federated Process Mining

Global prototype distillation for heterogeneous federated learning

Semi-HFL: semi-supervised federated learning for heterogeneous devices

Hochschulschrift

Optimization of an interface abstraction layer for heterogeneous networks

ConSolid: A federated ecosystem for heterogeneous multi-stakeholder projects

A federated learning differential privacy algorithm for non-Gaussian heterogeneous data

Learning domain-heterogeneous speaker recognition systems with personalized continual federated learning

Incremental federated learning for traffic flow classification in heterogeneous data scenarios

Abschnitt

Abstraction.

Federated Query Processing over Heterogeneous Data Sources in a Semantic Data Lake

Federated Access to Heterogeneous Information Resources in the Neuroscience Information Framework (NIF)

Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare

An Abstraction-Based Approach for Privacy-Aware Federated Process Mining

Global prototype distillation for heterogeneous federated learning

Semi-HFL: semi-supervised federated learning for heterogeneous devices

Hochschulschrift

Optimization of an interface abstraction layer for heterogeneous networks

ConSolid: A federated ecosystem for heterogeneous multi-stakeholder projects

A federated learning differential privacy algorithm for non-Gaussian heterogeneous data

Learning domain-heterogeneous speaker recognition systems with personalized continual federated learning

Incremental federated learning for traffic flow classification in heterogeneous data scenarios

Abschnitt

Abstraction.

Federated Query Processing over Heterogeneous Data Sources in a Semantic Data Lake

Federated Access to Heterogeneous Information Resources in the Neuroscience Information Framework (NIF)

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare

An Abstraction-Based Approach for Privacy-Aware Federated Process Mining

Global prototype distillation for heterogeneous federated learning

Semi-HFL: semi-supervised federated learning for heterogeneous devices

Optimization of an interface abstraction layer for heterogeneous networks

ConSolid: A federated ecosystem for heterogeneous multi-stakeholder projects

A federated learning differential privacy algorithm for non-Gaussian heterogeneous data

Learning domain-heterogeneous speaker recognition systems with personalized continual federated learning

Incremental federated learning for traffic flow classification in heterogeneous data scenarios

Abstraction.

Federated Query Processing over Heterogeneous Data Sources in a Semantic Data Lake

Federated Access to Heterogeneous Information Resources in the Neuroscience Information Framework (NIF)

Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare

An Abstraction-Based Approach for Privacy-Aware Federated Process Mining

Global prototype distillation for heterogeneous federated learning

Semi-HFL: semi-supervised federated learning for heterogeneous devices

Optimization of an interface abstraction layer for heterogeneous networks

ConSolid: A federated ecosystem for heterogeneous multi-stakeholder projects

A federated learning differential privacy algorithm for non-Gaussian heterogeneous data

Learning domain-heterogeneous speaker recognition systems with personalized continual federated learning

Incremental federated learning for traffic flow classification in heterogeneous data scenarios

Abstraction.

Federated Query Processing over Heterogeneous Data Sources in a Semantic Data Lake

Federated Access to Heterogeneous Information Resources in the Neuroscience Information Framework (NIF)

Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare

An Abstraction-Based Approach for Privacy-Aware Federated Process Mining

Global prototype distillation for heterogeneous federated learning

Semi-HFL: semi-supervised federated learning for heterogeneous devices

Optimization of an interface abstraction layer for heterogeneous networks

ConSolid: A federated ecosystem for heterogeneous multi-stakeholder projects

A federated learning differential privacy algorithm for non-Gaussian heterogeneous data

Learning domain-heterogeneous speaker recognition systems with personalized continual federated learning

Incremental federated learning for traffic flow classification in heterogeneous data scenarios

Abstraction.

Federated Query Processing over Heterogeneous Data Sources in a Semantic Data Lake

Federated Access to Heterogeneous Information Resources in the Neuroscience Information Framework (NIF)

Related objects

Reset password