123 related articles for article (PubMed ID: 37956007)
1. Multi-Stage Asynchronous Federated Learning With Adaptive Differential Privacy.
Li Y; Yang S; Ren X; Shi L; Zhao C
IEEE Trans Pattern Anal Mach Intell; 2024 Feb; 46(2):1243-1256. PubMed ID: 37956007
[TBL] [Abstract][Full Text] [Related]
2. Exploring the Relationship Between Privacy and Utility in Mobile Health: Algorithm Development and Validation via Simulations of Federated Learning, Differential Privacy, and External Attacks.
Shen A; Francisco L; Sen S; Tewari A
J Med Internet Res; 2023 Apr; 25():e43664. PubMed ID: 37079370
[TBL] [Abstract][Full Text] [Related]
3. A Communication-Efficient, Privacy-Preserving Federated Learning Algorithm Based on Two-Stage Gradient Pruning and Differentiated Differential Privacy.
Li Y; Du W; Han L; Zhang Z; Liu T
Sensors (Basel); 2023 Nov; 23(23):. PubMed ID: 38067678
[TBL] [Abstract][Full Text] [Related]
4. LF3PFL: A Practical Privacy-Preserving Federated Learning Algorithm Based on Local Federalization Scheme.
Li Y; Xu G; Meng X; Du W; Ren X
Entropy (Basel); 2024 Apr; 26(5):. PubMed ID: 38785602
[TBL] [Abstract][Full Text] [Related]
5. Sparsified federated learning with differential privacy for intrusion detection in VANETs based on Fisher Information Matrix.
Chen R; Chen X; Zhao J
PLoS One; 2024; 19(4):e0301897. PubMed ID: 38630709
[TBL] [Abstract][Full Text] [Related]
6. Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning.
Gu B; Xu A; Huo Z; Deng C; Huang H
IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6103-6115. PubMed ID: 34161243
[TBL] [Abstract][Full Text] [Related]
7. The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach.
Matschinske J; Späth J; Bakhtiari M; Probul N; Kazemi Majdabadi MM; Nasirigerdeh R; Torkzadehmahani R; Hartebrodt A; Orban BA; Fejér SJ; Zolotareva O; Das S; Baumbach L; Pauling JK; Tomašević O; Bihari B; Bloice M; Donner NC; Fdhila W; Frisch T; Hauschild AC; Heider D; Holzinger A; Hötzendorfer W; Hospes J; Kacprowski T; Kastelitz M; List M; Mayer R; Moga M; Müller H; Pustozerova A; Röttger R; Saak CC; Saranti A; Schmidt HHHW; Tschohl C; Wenke NK; Baumbach J
J Med Internet Res; 2023 Jul; 25():e42621. PubMed ID: 37436815
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A Two-Stage Differential Privacy Scheme for Federated Learning Based on Edge Intelligence.
Zhang L; Xu J; Sivaraman A; Deborah Lazarus J; Sharma PK; Pandi V
IEEE J Biomed Health Inform; 2024 Jun; 28(6):3349-3360. PubMed ID: 37594867
[TBL] [Abstract][Full Text] [Related]
10. Federated
Zheng Q; Chen S; Long Q; Su WJ
Proc Mach Learn Res; 2021 Apr; 130():2251-2259. PubMed ID: 34350418
[TBL] [Abstract][Full Text] [Related]
11. Privacy-enhanced momentum federated learning via differential privacy and chaotic system in industrial Cyber-Physical systems.
Zhang Z; Zhang L; Li Q; Wang K; He N; Gao T
ISA Trans; 2022 Sep; 128(Pt A):17-31. PubMed ID: 34556349
[TBL] [Abstract][Full Text] [Related]
12. Task-Specific Adaptive Differential Privacy Method for Structured Data.
Utaliyeva A; Shin J; Choi YH
Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850576
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Blockchain-Enabled Asynchronous Federated Learning in Edge Computing.
Liu Y; Qu Y; Xu C; Hao Z; Gu B
Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34064942
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Analysis of Privacy-Enhancing Technologies in Open-Source Federated Learning Frameworks for Driver Activity Recognition.
Novikova E; Fomichov D; Kholod I; Filippov E
Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35458968
[TBL] [Abstract][Full Text] [Related]
17. Approximating Functions with Approximate Privacy for Applications in Signal Estimation and Learning.
Tasnim N; Mohammadi J; Sarwate AD; Imtiaz H
Entropy (Basel); 2023 May; 25(5):. PubMed ID: 37238580
[TBL] [Abstract][Full Text] [Related]
18. Temporal Weighted Averaging for Asynchronous Federated Intrusion Detection Systems.
Agrawal S; Chowdhuri A; Sarkar S; Selvanambi R; Gadekallu TR
Comput Intell Neurosci; 2021; 2021():5844728. PubMed ID: 34956350
[TBL] [Abstract][Full Text] [Related]
19. Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review.
Brauneck A; Schmalhorst L; Kazemi Majdabadi MM; Bakhtiari M; Völker U; Baumbach J; Baumbach L; Buchholtz G
J Med Internet Res; 2023 Mar; 25():e41588. PubMed ID: 36995759
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
