ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.09751
  4. Cited By
Federated machine learning with Anonymous Random Hybridization (FeARH)
  on medical records

Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records

25 December 2019
Jianfei Cui
He Zhu
Hao Deng
Ziwei Chen
Dianbo Liu
ArXivPDFHTML

Papers citing "Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records"

3 / 3 papers shown
Title
Federated and distributed learning applications for electronic health
  records and structured medical data: A scoping review
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review
Siqi Li
Pinyan Liu
G. G. Nascimento
Xinru Wang
F. Leite
...
Daniel Ting
Hamed Haddadi
M. Ong
M. A. Peres
Nan Liu
20
11
0
14 Apr 2023
Federated Learning for Healthcare Domain - Pipeline, Applications and
  Challenges
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Madhura Joshi
Ankit Pal
Malaikannan Sankarasubbu
OOD
AI4CE
FedML
25
93
0
15 Nov 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends,
  Challenges, and Future Research Directions
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
46
90
0
05 Aug 2022
1