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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Vydané v:	Pattern recognition Ročník 158; s. 111048
Hlavní autori:	Hu, Kai, Gong, Sheng, Li, Lingxiao, Luo, Yuantu, Li, YaoGen, Jiang, Shanshan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.02.2025
Predmet:	Federated learning Incremental learning Topological Data Analysis Incremental learning Federated learning Topological Data Analysis
ISSN:	0031-3203
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