These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
5. Federated learning with workload-aware client scheduling in heterogeneous systems. Li L; Liu D; Duan M; Zhang Y; Ren A; Chen X; Tan Y; Wang C Neural Netw; 2022 Oct; 154():560-573. PubMed ID: 35995021 [TBL] [Abstract][Full Text] [Related]
6. An EMD-Based Adaptive Client Selection Algorithm for Federated Learning in Heterogeneous Data Scenarios. Chen A; Fu Y; Sha Z; Lu G Front Plant Sci; 2022; 13():908814. PubMed ID: 35755701 [TBL] [Abstract][Full Text] [Related]
9. A Cluster-Driven Adaptive Training Approach for Federated Learning. Jeong Y; Kim T Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146408 [TBL] [Abstract][Full Text] [Related]
10. Deep Federated Adaptation: An Adaptative Residential Load Forecasting Approach with Federated Learning. Shi Y; Xu X Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590953 [TBL] [Abstract][Full Text] [Related]
11. Generalized global solar radiation forecasting model via cyber-secure deep federated learning. Moradzadeh A; Moayyed H; Mohammadi-Ivatloo B; Aguiar AP; Anvari-Moghaddam A; Abdul-Malek Z Environ Sci Pollut Res Int; 2024 Mar; 31(12):18281-18295. PubMed ID: 37837598 [TBL] [Abstract][Full Text] [Related]
12. Aggregation Strategy on Federated Machine Learning Algorithm for Collaborative Predictive Maintenance. Bemani A; Björsell N Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36016014 [TBL] [Abstract][Full Text] [Related]
13. A Comprehensive Overview of IoT-Based Federated Learning: Focusing on Client Selection Methods. Khajehali N; Yan J; Chow YW; Fahmideh M Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631771 [TBL] [Abstract][Full Text] [Related]
14. Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation. Qin Z; Yang L; Gao F; Hu Q; Shen C IEEE Trans Neural Netw Learn Syst; 2024 Jun; 35(6):7548-7562. PubMed ID: 36306293 [TBL] [Abstract][Full Text] [Related]
15. An Optimization Method for Non-IID Federated Learning Based on Deep Reinforcement Learning. Meng X; Li Y; Lu J; Ren X Sensors (Basel); 2023 Nov; 23(22):. PubMed ID: 38005610 [TBL] [Abstract][Full Text] [Related]
16. Federated Discriminative Representation Learning for Image Classification. Zhang Y; Wang Y; Li Y; Xu Y; Wei S; Liu S; Shang X IEEE Trans Neural Netw Learn Syst; 2023 Dec; PP():. PubMed ID: 38055356 [TBL] [Abstract][Full Text] [Related]
17. Federated Learning in Edge Computing: A Systematic Survey. Abreha HG; Hayajneh M; Serhani MA Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062410 [TBL] [Abstract][Full Text] [Related]
18. Federated Learning for Privacy-Aware Human Mobility Modeling. Ezequiel CEJ; Gjoreski M; Langheinrich M Front Artif Intell; 2022; 5():867046. PubMed ID: 35837615 [TBL] [Abstract][Full Text] [Related]
19. Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation. Chen Y; Sun X; Jin Y IEEE Trans Neural Netw Learn Syst; 2020 Oct; 31(10):4229-4238. PubMed ID: 31899435 [TBL] [Abstract][Full Text] [Related]
20. Federated Noisy Client Learning. Tam K; Li L; Han B; Xu C; Fu H IEEE Trans Neural Netw Learn Syst; 2023 Dec; PP():. PubMed ID: 38039172 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]