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 *

97 related articles for article (PubMed ID: 32941159)

  • 1. An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy.
    Lou J; Cheung YM
    IEEE Trans Neural Netw Learn Syst; 2021 Oct; 32(10):4529-4543. PubMed ID: 32941159
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Differentially Private Distributed Online Learning.
    Li C; Zhou P; Xiong L; Wang Q; Wang T
    IEEE Trans Knowl Data Eng; 2018 Aug; 30(8):1440-1453. PubMed ID: 31564813
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Privacy Masking Stochastic Subgradient-Push Algorithm for Distributed Online Optimization.
    Lu Q; Liao X; Xiang T; Li H; Huang T
    IEEE Trans Cybern; 2021 Jun; 51(6):3224-3237. PubMed ID: 32149669
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Membership inference attack on differentially private block coordinate descent.
    Riaz S; Ali S; Wang G; Latif MA; Iqbal MZ
    PeerJ Comput Sci; 2023; 9():e1616. PubMed ID: 37869463
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A(DP)
    Xu J; Zhang W; Wang F
    IEEE Trans Pattern Anal Mach Intell; 2022 Nov; 44(11):8036-8047. PubMed ID: 34449356
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Guaranteed distributed machine learning: Privacy-preserving empirical risk minimization.
    Owusu-Agyemang K; Qin Z; Benjamin A; Xiong H; Qin Z
    Math Biosci Eng; 2021 Jun; 18(4):4772-4796. PubMed ID: 34198465
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Differentially Private Empirical Risk Minimization.
    Chaudhuri K; Monteleoni C; Sarwate AD
    J Mach Learn Res; 2011 Mar; 12():1069-1109. PubMed ID: 21892342
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization.
    Imtiaz H; Sarwate AD
    IEEE J Sel Top Signal Process; 2018 Dec; 12(6):1449-1464. PubMed ID: 31595179
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The cost of quality: Implementing generalization and suppression for anonymizing biomedical data with minimal information loss.
    Kohlmayer F; Prasser F; Kuhn KA
    J Biomed Inform; 2015 Dec; 58():37-48. PubMed ID: 26385376
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Communication-Efficient Nonconvex Federated Learning With Error Feedback for Uplink and Downlink.
    Zhou X; Chang L; Cao J
    IEEE Trans Neural Netw Learn Syst; 2023 Nov; PP():. PubMed ID: 37995164
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Comprehensive Comparison of Multiparty Secure Additions with Differential Privacy.
    Goryczka S; Xiong L
    IEEE Trans Dependable Secure Comput; 2017; 14(5):463-477. PubMed ID: 28919841
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Privacy-Preserving Analysis of Distributed Biomedical Data: Designing Efficient and Secure Multiparty Computations Using Distributed Statistical Learning Theory.
    Dankar FK; Madathil N; Dankar SK; Boughorbel S
    JMIR Med Inform; 2019 Apr; 7(2):e12702. PubMed ID: 31033449
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Insuring against the perils in distributed learning: privacy-preserving empirical risk minimization.
    Owusu-Agyemang K; Qin Z; Benjamin A; Xiong H; Qin Z
    Math Biosci Eng; 2021 Mar; 18(4):3006-3033. PubMed ID: 34198373
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Privacy Preservation in Distributed Subgradient Optimization Algorithms.
    Lou Y; Yu L; Wang S; Yi P
    IEEE Trans Cybern; 2018 Jul; 48(7):2154-2165. PubMed ID: 28767383
    [TBL] [Abstract][Full Text] [Related]  

  • 15. On the Convergence and Calibration of Deep Learning with Differential Privacy.
    Bu Z; Wang H; Dai Z; Long Q
    Transact Mach Learn Res; 2023 Jun; 2023():. PubMed ID: 38562419
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition.
    Gong M; Pan K; Xie Y; Qin AK; Tang Z
    Neural Netw; 2020 May; 125():131-141. PubMed ID: 32088567
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data.
    Sattler F; Wiedemann S; Muller KR; Samek W
    IEEE Trans Neural Netw Learn Syst; 2020 Sep; 31(9):3400-3413. PubMed ID: 31689214
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Privacy-Preserving Log-Rank Test for the Kaplan-Meier Estimator With Secure Multiparty Computation: Algorithm Development and Validation.
    von Maltitz M; Ballhausen H; Kaul D; Fleischmann DF; Niyazi M; Belka C; Carle G
    JMIR Med Inform; 2021 Jan; 9(1):e22158. PubMed ID: 33459602
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Distributed Certifiably Correct Pose-Graph Optimization.
    Tian Y; Khosoussi K; Rosen DM; How JP
    IEEE Trans Robot; 2021 Dec; 37(6):2137-2156. PubMed ID: 35140552
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Differentially private distributed logistic regression using private and public data.
    Ji Z; Jiang X; Wang S; Xiong L; Ohno-Machado L
    BMC Med Genomics; 2014; 7 Suppl 1(Suppl 1):S14. PubMed ID: 25079786
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.