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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

138 related articles for article (PubMed ID: 38145509)

  • 1. Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning.
    Yang B; Yuen PC; Zhang Y; Zeng A
    IEEE Trans Neural Netw Learn Syst; 2023 Dec; PP():. PubMed ID: 38145509
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Medical federated learning with joint graph purification for noisy label learning.
    Chen Z; Li W; Xing X; Yuan Y
    Med Image Anal; 2023 Dec; 90():102976. PubMed ID: 37806019
    [TBL] [Abstract][Full Text] [Related]  

  • 4. PGFed: Personalize Each Client's Global Objective for Federated Learning.
    Luo J; Mendieta M; Chen C; Wu S
    Proc IEEE Int Conf Comput Vis; 2023 Oct; 2023():3923-3933. PubMed ID: 38638407
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Contrastive encoder pre-training-based clustered federated learning for heterogeneous data.
    Tun YL; Nguyen MNH; Thwal CM; Choi J; Hong CS
    Neural Netw; 2023 Aug; 165():689-704. PubMed ID: 37385023
    [TBL] [Abstract][Full Text] [Related]  

  • 6. FedDdrl: Federated Double Deep Reinforcement Learning for Heterogeneous IoT with Adaptive Early Client Termination and Local Epoch Adjustment.
    Wong YJ; Tham ML; Kwan BH; Owada Y
    Sensors (Basel); 2023 Feb; 23(5):. PubMed ID: 36904696
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Stabilizing and Accelerating Federated Learning on Heterogeneous Data With Partial Client Participation.
    Zhang H; Li C; Dai W; Zheng Z; Zou J; Xiong H
    IEEE Trans Pattern Anal Mach Intell; 2024 Sep; PP():. PubMed ID: 39325608
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity.
    Huang S; Fu L; Li Y; Chen C; Zheng Z; Dai HN
    IEEE Trans Neural Netw Learn Syst; 2024 Aug; PP():. PubMed ID: 39178080
    [TBL] [Abstract][Full Text] [Related]  

  • 10. IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation.
    Jiang M; Yang H; Cheng C; Dou Q
    IEEE Trans Med Imaging; 2023 Jul; 42(7):2106-2117. PubMed ID: 37030858
    [TBL] [Abstract][Full Text] [Related]  

  • 11. FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery.
    Chen S; Xue D; Chuai G; Yang Q; Liu Q
    Bioinformatics; 2021 Apr; 36(22-23):5492-5498. PubMed ID: 33289524
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Active Client Selection for Clustered Federated Learning.
    Huang H; Shi W; Feng Y; Niu C; Cheng G; Huang J; Liu Z
    IEEE Trans Neural Netw Learn Syst; 2024 Nov; 35(11):16424-16438. PubMed ID: 37506017
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A new federated learning-based wireless communication and client scheduling solution for combating COVID-19.
    Chen S; Jie Z; Wang G; Li KC; Yang J; Liu X
    Comput Commun; 2023 Jun; 206():101-109. PubMed ID: 37197298
    [TBL] [Abstract][Full Text] [Related]  

  • 14. FedTP: Federated Learning by Transformer Personalization.
    Li H; Cai Z; Wang J; Tang J; Ding W; Lin CT; Shi Y
    IEEE Trans Neural Netw Learn Syst; 2024 Oct; 35(10):13426-13440. PubMed ID: 37220054
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Federated Learning With Taskonomy for Non-IID Data.
    Jamali-Rad H; Abdizadeh M; Singh A
    IEEE Trans Neural Netw Learn Syst; 2022 Mar; PP():. PubMed ID: 35316193
    [TBL] [Abstract][Full Text] [Related]  

  • 16. FedTKD: A Trustworthy Heterogeneous Federated Learning Based on Adaptive Knowledge Distillation.
    Chen L; Zhang W; Dong C; Zhao D; Zeng X; Qiao S; Zhu Y; Tan CW
    Entropy (Basel); 2024 Jan; 26(1):. PubMed ID: 38275504
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Bayesian Federated Learning Framework With Online Laplace Approximation.
    Liu L; Jiang X; Zheng F; Chen H; Qi GJ; Huang H; Shao L
    IEEE Trans Pattern Anal Mach Intell; 2024 Jan; 46(1):1-16. PubMed ID: 37812559
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Privacy preserving federated learning for full heterogeneity.
    Chen K; Zhang X; Zhou X; Mi B; Xiao Y; Zhou L; Wu Z; Wu L; Wang X
    ISA Trans; 2023 Oct; 141():73-83. PubMed ID: 37105888
    [TBL] [Abstract][Full Text] [Related]  

  • 20. FedSTS: A Stratified Client Selection Framework for Consistently Fast Federated Learning.
    Gao D; Song D; Shen G; Cai X; Yang L; Liu G; Li X; Wang Z
    IEEE Trans Neural Netw Learn Syst; 2024 Sep; PP():. PubMed ID: 39316488
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.