Federated Incremental Learning algorithm based on Topological Data Analysis

Federated learning is a distributed learning approach aimed at preserving user’s data privacy, while incremental learning is an adaptive machine learning method that enables continuous learning of new data. The combination of these two approaches into Federated Incremental Learning (FIL) algorithms...

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Bibliographic Details

Published in:	Pattern recognition Vol. 158; p. 111048
Main Authors:	Hu, Kai, Gong, Sheng, Li, Lingxiao, Luo, Yuantu, Li, YaoGen, Jiang, Shanshan
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2025
Subjects:	Federated learning Incremental learning Topological Data Analysis Incremental learning Federated learning Topological Data Analysis
ISSN:	0031-3203
Online Access:	Get full text
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