An efficient personalized federated learning approach in heterogeneous environments: a reinforcement learning perspective
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
An efficient personalized federated learning approach in heterogeneous environments: a reinforcement learning perspective ; volume:14 ; number:1 ; day:21 ; month:11 ; year:2024 ; pages:1-22 ; date:12.2024
Scientific reports ; 14, Heft 1 (21.11.2024), 1-22, 12.2024
- Creator
-
Yang, Hongwei
Li, Juncheng
Hao, Meng
Zhang, Weizhe
He, Hui
Sangaiah, Arun Kumar
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-80048-3
- URN
-
urn:nbn:de:101:1-2502072108328.175578115388
- 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.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Yang, Hongwei
- Li, Juncheng
- Hao, Meng
- Zhang, Weizhe
- He, Hui
- Sangaiah, Arun Kumar
- SpringerLink (Online service)
Other Objects (12)
Learning domain-heterogeneous speaker recognition systems with personalized continual federated learning
Federated reinforcement learning for the edge
Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas
Personalized project recommendations: using reinforcement learning
A lightweight and personalized edge federated learning model
Global prototype distillation for heterogeneous federated learning
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond
PerHeFed: A general framework of personalized federated learning for heterogeneous convolutional neural networks
Semi-HFL: semi-supervised federated learning for heterogeneous devices
Perfednilm: a practical personalized federated learning-based non-intrusive load monitoring
Personalized client-edge-cloud hierarchical federated learning in mobile edge computing
Reinforcement learning based task scheduling for environmentally sustainable federated cloud computing
Learning domain-heterogeneous speaker recognition systems with personalized continual federated learning
Federated reinforcement learning for the edge
Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas
Personalized project recommendations: using reinforcement learning
A lightweight and personalized edge federated learning model
Global prototype distillation for heterogeneous federated learning
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond
PerHeFed: A general framework of personalized federated learning for heterogeneous convolutional neural networks
Semi-HFL: semi-supervised federated learning for heterogeneous devices
Perfednilm: a practical personalized federated learning-based non-intrusive load monitoring
Personalized client-edge-cloud hierarchical federated learning in mobile edge computing
Reinforcement learning based task scheduling for environmentally sustainable federated cloud computing
Learning domain-heterogeneous speaker recognition systems with personalized continual federated learning
Federated reinforcement learning for the edge
Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas
Personalized project recommendations: using reinforcement learning
A lightweight and personalized edge federated learning model
Global prototype distillation for heterogeneous federated learning
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond
PerHeFed: A general framework of personalized federated learning for heterogeneous convolutional neural networks
Semi-HFL: semi-supervised federated learning for heterogeneous devices
Perfednilm: a practical personalized federated learning-based non-intrusive load monitoring
Personalized client-edge-cloud hierarchical federated learning in mobile edge computing