FedELF: A Privacy-Preserving Federated Classification Using Iterative Extreme Learning Factory
Authors:
- 19 November 2025
- book chapter
- Published by Springer Nature
- p. 223-254
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM)IEEE Access, 2022
- An On-Device Federated Learning Approach for Cooperative Model Update Between Edge DevicesIEEE Access, 2021
- Online Extreme Learning Machine Design for the Application of Federated Learning2020
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection2019
- Differential Privacy for Data and Model Publishing of Medical DataIEEE Access, 2019
- Ensemble boosted trees with synthetic features generation in application to bankruptcy predictionExpert Systems with Applications, 2016
- Extreme learning machine: Theory and applicationsNeurocomputing, 2006
- Calibrating Noise to Sensitivity in Private Data Analysis2006
- Multisurface method of pattern separation for medical diagnosis applied to breast cytology.Proceedings of the National Academy of Sciences, 1990
- A generalized inverse for matricesMathematical Proceedings of the Cambridge Philosophical Society, 1955