LayerCFL: an efficient federated learning with layer-wised clustering

LayerCFL: an efficient federated learning with layer-wised clustering

Abstract Federated Learning (FL) suffers from the Non-IID problem in practice, which poses a challenge for efficient and accurate model training. To address this challenge, prior research has introduced clustered FL (CFL), which involves clustering clients and training them separately. Despite its p...

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Bibliographic Details
Main Authors: Jie Yuan, Rui Qian, Tingting Yuan, Mingliang Sun, Jirui Li, Xiaoyong Li
Format: Article
Language:English
Published: SpringerOpen 2023-12-01
Series:Cybersecurity
Subjects:
Federated learning
Clustered federated learning
Non-IID
Layer-wised clustering
Online Access:https://doi.org/10.1186/s42400-023-00172-x

Internet

https://doi.org/10.1186/s42400-023-00172-x

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